Finance

How NFE (Watt Works Foundation Limited) manages its money: spending and approval policies, the books in ERPNext, URA tax and VAT, and funding from owners, grants and lenders. Adapted from the GitLab Handbook's Finance section (CC BY-SA 4.0), scaled down for a small team.

Finance at NFE

Finance at NFE

Owner: Aaron Tushabe · Last reviewed: 29 Oct 2026

This book is adapted from the Finance section of the GitLab Handbook (CC BY-SA 4.0), scaled down for a small team. As at GitLab, it describes what we do now, not what we hope to do. Anything not yet decided is marked PROPOSED or is a stub labelled Planned.

Nearly Free Energy (NFE) trades as Watt Works Foundation Limited. This page is the front door to NFE's money: who decides, where the numbers live, which rules apply, and where to go next.

Who does what

Area (GitLab equivalent) At NFE Who
Accounting and reporting Books in ERPNext, monthly close Aaron Tushabe
Review and second approval Reviews the close; approves Aaron's spending Hillary Arinda
Tax EFRIS invoicing and the monthly VAT return Aaron Tushabe (backup: to be named)
Tax review and year-end VAT review, annual return, year-end adjustments External accountant
Investor relations Funders, grants and owner capital Aaron Tushabe

Where the numbers live

Financial year

1 July to 30 June, named for the year it ends: FY27 = 1 Jul 2026 – 30 Jun 2027.

Quarter FY27 dates
Q1 1 Jul – 30 Sep 2026
Q2 1 Oct – 31 Dec 2026
Q3 1 Jan – 31 Mar 2027
Q4 1 Apr – 30 Jun 2027

Refresh this table each July, when the policy register below is reviewed.

Policy register

Policies are controlled: they change only with both owners' sign-off, recorded as a dated line on the page. Every other page in this book is a procedure that whoever does the work can edit.

Policy Owner Status Last reviewed Next review Summary
Fixed assets and depreciation policy Aaron Tushabe Approved 29 Oct 2026 Jul 2027 What gets capitalised and how it's depreciated (URA rates)
Spending and approvals policy Aaron Tushabe Planned – – Who approves what, quotes, receipts, no self-approval
Chart of accounts change control Aaron Tushabe Approved 29 Oct 2026 Jul 2027 Who can add accounts and cost centres
Access Management Policy (Security) – Approved see page see page Who gets access to ERPNext, EFRIS and eTax

Where to send things

You have… Send it to
A supplier invoice or receipt Aaron, in the Nextcloud Accounting inbox folder
A customer billing question Aaron
A request to spend money An owner, only once it's complete: the quote or receipt, the site (cost centre) and what it's for
A question about a rule in this book Comment on the page

Transparency

NFE works in the open (Transparency by Default). Finance pages in this book can be read by all contributors. Personal data and credentials stay out.

What's in this book

About this book

Please improve it: edit any procedure page directly, or ask Claude to update it using the NFE Library skill. To change a policy, propose the change in a page comment and get both owners' sign-off.

Policies

The rules for approving, spending and capitalising NFE money. Changes need both owners' sign-off. Adapted from GitLab's Spending Company Money, Authorization Matrix, Expenses and Capital Assets policies.

Policies

Fixed assets and depreciation policy

Fixed assets and depreciation policy

Owner: Aaron Tushabe · Approved by: Aaron Tushabe and Hillary Arinda · Last reviewed: 29 Oct 2026 · Next review: Jul 2027 · Controlled policy

Adapted from GitLab's Capital Assets Policy (CC BY-SA 4.0).

Purpose

To make sure equipment NFE buys for its microgrids is recorded as an asset and depreciated, so the books show what NFE owns and match what URA allows for tax.

Scope

Equipment and works bought by Watt Works Foundation Limited for its sites (Sezibwa Homes, Kyanja Town Homes, Pearl Marina and future customer sites) and for NFE Operations.

Policy

What is capitalised

Categories and depreciation rates

NFE follows URA capital allowance classes, so the books match the tax return.

ERPNext asset category What's in it Method Rate URA basis
Microgrid Equipment (URA Class 3) Inverters, batteries, distribution, wiring, meters Written Down Value (reducing balance), posted yearly on 30 Jun 20% Class 3 catch-all. Electricity generation isn't farming, manufacturing or mining, so Class 2 doesn't apply.
Buildings and Shelters (5% straight-line) Equipment shelters and other civil works Straight line, 20 years 5% Industrial building allowance

To confirm with the accountant:

Sites that aren't live yet

Costs for a site under construction go to 1790 Capital Work in Progress, under the site's cost centre. On the commissioning date, the balance becomes an asset record and depreciation starts.

Asset records in ERPNext

Every asset record needs: the item (Microgrid System or Equipment Shelter), the site's cost centre and location, the purchase date, the in-use date, and the supplier. Where there are serial numbers (inverters, batteries) and warranty end dates, add them to the asset's description. Example: ACC-ASS-2026-00001, Sezibwa Phase 1.

Depreciation posting

ERPNext posts depreciation automatically each 30 Jun from the asset's schedule. Checking that it posted is part of the year-end close.

Disposal and loss

A failed battery, theft or a warranty swap is recorded in ERPNext as a scrap or sale of the asset, with evidence (photo, police report, warranty or insurance claim) attached. Keep asset invoices for as long as the accountant confirms URA requires.

Exceptions

Date Exception Approved by
29 Oct 2026 Capitalised the Sezibwa build-out after it was first expensed during the Open Collective migration (see migration record) Aaron Tushabe

Change log

Date Change Who
29 Oct 2026 Capitalisation threshold of UGX 1,000,000 approved (no longer PROPOSED) Aaron Tushabe and Hillary Arinda
29 Oct 2026 Policy created: URA-based rates, asset categories, CWIP for unbuilt sites, deposits recoverable Aaron Tushabe
Policies

Spending and approvals policy

Spending and approvals policy

Planned: not yet written. Owner: Aaron Tushabe. Trigger: Aaron and Hillary agree the UGX approval bands, before Kyanja procurement starts.

Will be adapted from GitLab's Spending Company Money and Authorization Matrix (CC BY-SA 4.0).

What this page will cover:

Accounting

How NFE keeps its books in ERPNext: the migration record, chart of accounts and cost centres, and the monthly and year-end close. Adapted from GitLab's Accounting and Reporting pages.

Accounting

Open Collective → ERPNext migration: decisions and status

Open Collective → ERPNext migration: decisions and status

Owner: Aaron Tushabe · Last reviewed: 29 Oct 2026 · Part of the Finance book · Company in ERPNext: Watt Works Foundation Limited (base currency UGX, financial year 1 Jul – 30 Jun)

This page records how NFE's accounting history moved from Open Collective (opencollective.com/nfe) into ERPNext, and every accounting decision made along the way. Check here before changing any of the migrated entries.

Where things stand

Item Status
Migrated history 140 journal entries submitted, ACC-JV-2026-00001 to 00140
Watt Works UGX bank account (1220) 1,531,613 UGX at 12 Oct 2026, matching the bank statement exactly
Open Collective Funds clearing account (1210) 0 USD / 0 UGX, cleared at cut-over on 13 Jul 2026
Owner's Capital – Aaron Tushabe (3110) 44,141,363.38 UGX
Owner's Capital – Hillary Arinda (3120) 3,588,210 UGX
Equipment capitalised as fixed assets 14 reclassification entries (ACC-JV-2026-00141 to 00154) and 4 asset records (29 Oct 2026)

Still open:

Finding a migrated entry

Every migrated journal entry's User Remark starts with its source:

Key Meaning
[OC-<id>] An Open Collective transaction (its Open Collective ID)
[BANK-<line>] A UGX bank-statement line with no Open Collective entry
[OWNER-n] Paid personally by Aaron, in neither Open Collective nor the bank
[CUTOVER-n] The two 13 Jul 2026 entries that cleared the Open Collective account
[RECLASS-<entry>] Moves an original expense entry into fixed assets, a deposit or work in progress

ACC-JV-2026-00001 to 00006 were the approved test batch. Their remarks say "TEST" instead of a key.

Source files

These stay with the finance files in Aaron's Accounting folder (Nearly Free Energy drive, Accounting/migration/):

Decisions

1. Real money accounts and the Open Collective clearing account

2. Transactions found only on the bank statement

These May–June 2026 payments aren't in Open Collective:

Date UGX What Party Cost centre
21 May 5,001 Refund of a test "customer" payment (the test inflow is in the 19 Apr opening balance) Aaron Tushabe Main (posted to owner's capital)
5 Jun 88,500 UEDCL inspection, new three-phase grid connection UEDCL Kyanja Town Homes
6 Jun 1,000,000 Battery/inverter shelter civil works (part payment) MOTECH Constructions Solutions Limited Sezibwa Homes
7 Jun 80,000 Electrician's wiring certificate Hats Engineering Works Limited Kyanja Town Homes
9 Jun 118,000 UEDCL inspection, new three-phase grid connection UEDCL Pearl Marina
11 Jun 500,000 Battery/inverter shelter civil works (final payment) MOTECH Constructions Solutions Limited Sezibwa Homes

Other rules for bank-only lines:

3. Owner contributions are owner's equity

These go to owner's equity, never to income and never to be repaid:

Contributions from anyone else, such as Energy IoT Open Source ($2,800, Apr 2026), are grant/donation income (4230 Grants and Donations).

4. Equipment is capitalised and depreciated on URA rates

Decided 29 Oct 2026. This replaced an earlier decision to expense all pilot-site equipment.

What's capitalised. Everything first posted to 5130 Microgrid Equipment and Installation, about 28.7M UGX, has moved out of expenses. That includes installation labour, inspection fees and certificates, because they were needed to get the equipment working. The original entries are unchanged, and a dated [RECLASS-…] entry moves each one:

Asset (ERPNext) Cost (UGX) In use from Category
ACC-ASS-2026-00001-1 Sezibwa Phase 1 9,883,771.96 30 Sep 2025 Microgrid Equipment (URA Class 3)
ACC-ASS-2026-00005 Phase 1 Calin meter installation labour (scrapped 31 Mar 2026) 2,001,841.38 30 Sep 2025 Microgrid Equipment (URA Class 3)
ACC-ASS-2026-00002-1 Sezibwa Phase 2: inverter and batteries 9,209,385.83 31 Jul 2026 Microgrid Equipment (URA Class 3)
ACC-ASS-2026-00003-1 Sezibwa battery/inverter shelter (MOTECH) 1,500,000 31 Jul 2026 Buildings and Shelters (5% straight-line)
ACC-ASS-2026-00004-1 Sezibwa tenant meters (2) DDSU666, Green Volta INV-000057 348,926.03 21 Jan 2026 Microgrid Equipment (URA Class 3)

Changes on 30 Oct 2026. Records 00001–00004 were cancelled and re-issued with -1 names. Phase 2 and the shelter moved from 30 Jun to 31 Jul 2026, when Phase 2 went live. The INV-000057 meters turned out to be tenant meters, so they stay assets and moved to Sezibwa from 31 Mar 2026. The Calin meter installation labour came out of Phase 1: see Write-off of the Calin meter installation labour (31 Mar 2026).

Not assets:

The rules (what's capitalised, URA-based rates, recording new site equipment) are in the Fixed assets and depreciation policy.

5. Exchange rates

ERPNext setup created for the migration

Accounts, cost centres, remark keys and their change log are in Chart of accounts and cost centres. VAT questions are tracked in VAT treatment decisions.

Accounting

Chart of accounts and cost centres

Chart of accounts and cost centres

Owner: Aaron Tushabe · Last reviewed: 29 Oct 2026

Adapted from GitLab's Accounting and Reporting pages (CC BY-SA 4.0).

NFE's books are in ERPNext (company: Watt Works Foundation Limited, currency UGX). This page explains how the accounts and cost centres are organised. For balances, open ERPNext; this page never copies them.

Change control

Only Aaron Tushabe (owner) and Hillary Arinda (approver) add or change accounts and cost centres. To request one, comment on this page. Record every change in the change log at the bottom.

Key accounts

Account Use it for
1220 Watt Works UGX Bank Account The company's UGX bank account. All company cash.
1230 Wise USD Account USD held in Wise. Company money only.
1210 Open Collective Funds (USD) Closed. Clearing account for the Open Collective history; zero since 13 Jul 2026.
1652 Supplier Deposits Recoverable Deposits paid for goods not yet delivered, or that should be refunded
1711 Microgrid Plant and Equipment Capitalised microgrid equipment (fixed assets policy)
1760 Buildings Equipment shelters and civil works
1780 Accumulated Depreciation Built up by ERPNext's depreciation entries
1790 CWIP Account Capital work in progress: sites not yet live
2160 Customer Advances Customer deposits received before work is done
VAT VAT payable and paid
3110 Owner's Capital – Aaron Tushabe Aaron's contributions, and expenses he paid personally
3120 Owner's Capital – Hillary Arinda Hillary's contributions
4110 Sales Electricity sales
4230 Grants and Donations Grants and donations (not owner money)
5120 Electricity Purchases (UEDCL) Grid electricity bought from UEDCL
5130 Microgrid Equipment and Installation Small equipment below the capitalisation threshold
5203 Depreciation Posted by ERPNext
5219 Exchange Gain/Loss Currency differences
5221 Bank Charges Bank, mobile-money and transfer fees, plus excise duty on them
5226 Stipends and Allowances Stipends, such as the microgrid manager and internet stipends
5227 Software and Subscriptions Software, domains, hosting
5228 Research and Prototyping Testing hardware, samples, prototypes

Cost centres

Rule: charge spending to the site or team that owns the outcome.

Cost centre Use it for
Sezibwa Homes - NFE Pilot Everything for the Sezibwa microgrid, including its sales, UEDCL bills, fees and equipment
Kyanja Town Homes The Kyanja site (under construction)
Pearl Marina The Pearl Marina site (under construction)
NFE Operations Company-wide operations: registration, software, travel, team costs, monthly bank fees
Main General: owner contributions and anything not tied to a site

Examples:

Remark keys

Journal entries created by a migration or bulk process start their User Remark with a key, so they can be searched:

Key Meaning
[OC-<id>] Migrated from Open Collective
[BANK-<line>] Migrated from a bank-statement line
[OWNER-n] Paid personally by an owner, outside the bank
[CUTOVER-n] Open Collective cut-over entries
[RECLASS-<entry>] Moves an earlier entry to a different account

Change log

Date Change Why Who
29 Oct 2026 Added 1652, 1711, the two asset categories, and the Microgrid System and Equipment Shelter items Capitalising the Sezibwa build-out Aaron Tushabe
17 Oct 2026 Created bank accounts 1210/1220/1230, owner's capital 3110/3120, 4230, and 5120–5228; cost centres for each site; FY2024-25 and FY2025-26 Open Collective migration Aaron Tushabe
Accounting

Month-end close checklist

Month-end close checklist

Planned: not yet written. Owner: Aaron Tushabe. Trigger: written from the first close of the October 2026 books in ERPNext (early November), alongside the 15 Nov VAT filing.

Will be adapted from GitLab's Accounting and Reporting pages (CC BY-SA 4.0).

What this page will cover:

Accounting

Year-end close and audit readiness (FY2025-26)

Year-end close and audit readiness (FY2025-26)

Planned: not yet written. Owner: Aaron Tushabe. Trigger: engaging the accountant for the FY2025-26 annual return (due about 31 Dec 2026; confirm the date).

What this page will cover:

Accounting

Write-off of the Calin meter installation labour (31 Mar 2026)

Write-off of the Calin meter installation labour (31 Mar 2026)

Decided and booked 30 Oct 2026. UGX 2,001,841.38 of Green Volta labour for installing the Calin meters came off Sezibwa Phase 1 as at 31 Mar 2026, when those meters were replaced. FY2025-26 expense rose by 1,701,290.95, and FY2026-27 depreciation falls by 340,258.19. This follows on from decision 4 on the migration decisions page.

Why

The numbers

UGX, Sezibwa cost centre.

Before After Change
Phase 1 cost in 1711 11,885,613.34 9,883,771.96 −2,001,841.38
FY26 depreciation, Phase 1 (30 Sep 2025–30 Jun 2026) 1,784,470.17 1,483,919.74 −300,550.43
FY26 depreciation, Calin labour (30 Sep 2025–31 Mar 2026) – 200,732.59 +200,732.59
Loss on disposal, 31 Mar 2026 (5222) – 1,801,108.79 +1,801,108.79
Total FY26 expense 1,784,470.17 3,485,761.12 +1,701,290.95
FY27 depreciation, 30 Jun 2027 2,020,228.63 1,679,970.44 −340,258.19

Depreciation is 20% a year on the reducing balance (Microgrid Equipment, URA Class 3), with days counted inclusively, the same way ERPNext's schedule works. No cash moved.

What was booked in ERPNext

Step Record UGX
Phase 1's original FY26 depreciation cancelled ACC-JV-2026-00156 1,784,470.17
Phase 1 re-issued without the labour ACC-ASS-2026-00001-1 9,883,771.96
Calin labour as its own record, scrapped 31 Mar 2026 ACC-ASS-2026-00005 2,001,841.38
Depreciation to 31 Mar 2026 (5203) ACC-JV-2026-00157 200,732.59
Loss on disposal (5222) ACC-JV-2026-00158 1,801,108.79
Phase 1 depreciation, 30 Jun 2026 posts on the nightly run of 31 Oct 1,483,919.74

Accountant's answers (30 Oct 2026)

Approval

Reviewed by Aaron Tushabe. Approved by Hillary Arinda, as relayed by Aaron on 30 Oct 2026. Hillary: please confirm with a comment on this page so your sign-off is on record.

Tax and URA

How NFE meets its URA obligations: EFRIS invoicing, the monthly VAT return, and the VAT, PAYE, withholding and income tax calendar. Adapted from GitLab's Tax pages.

Tax and URA

Monthly URA routine: EFRIS invoices and VAT return

Monthly URA routine: EFRIS invoices and VAT return

Owner: Aaron Tushabe · Backup: to be named · Last reviewed: 29 Oct 2026

Adapted from GitLab's Tax pages (CC BY-SA 4.0).

Each month NFE issues its electricity bills as fiscal invoices in EFRIS and files the Monthly VAT return in eTax. The return for month M is due on the 15th of month M+1.

This page is the source of truth for the routine. Claude's ura-monthly-vat skill follows it, so to run it with Claude, say "run the ura-monthly-vat routine".

Rules

Step 1: Review the month's invoices

Invoices are in the Sezibwa Rentals folder, under <Month YYYY> Invoices/NFE-YYYY-NNNNN.pdf. Check each one against the tariff:

Tier kWh UGX per kWh, excluding VAT
T1 1–15 250
T2 16–80 779.40
T3 81–150 412
T4 151+ 779.40

There's also a service charge of UGX 7,320 a month, and VAT of 18% on everything. Build a review table (invoice, customer, kWh per tier, taxable amount, VAT, total) and flag anything that doesn't add up.

Step 2: Issue the invoices in EFRIS

In EFRIS, go to Fiscal Document Management → Receipts/Invoices → Issue.

  1. Section A: Branch = Watt Works Foundation Limited; Currency = UGX; Seller's Reference No. = the NFE invoice number.

  2. Section B: pick the buyer from Frequent Contacts. The customer-to-contact mapping is in the working notes. For a new customer, add them as a contact first.

  3. Section C: add one line per tier, with the kWh from the bill as the quantity, plus the service charge. EFRIS prices include VAT:

    Code Item Unit Price incl. VAT
    001 First 15 kWh kWh 295
    002 Between 16–80 kWh kWh 919.69
    003 Between 81–150 kWh kWh 486.16
    004 Above 150 kWh kWh 919.69
    005 Service Charge per month 8,637.60
  4. Section D: set Payment Mode to Mobile money. It defaults to Cash.

  5. Check the gross amount against the bill (within 1 UGX), then click Generate Invoice and confirm once.

  6. Note the FDN and verification code.

  7. After the last invoice, open Fiscal Document Inquiry and confirm the count is right, there are no duplicates, and every invoice is "Valid".

Step 3: File the Monthly VAT return in eTax

  1. Go to e-Services → Return → Monthly Value-Added Tax. Set the period to the month and choose Submit Return (not View Return).
  2. eTax prefills sales and purchases from EFRIS by invoice date. Invoices issued in month M+1 belong to month M+1's return. Decision (Sep 2026): file as prefilled, and never add carried-over invoices by hand.
  3. Sales tab: set "additional sales to declare?" to No (it defaults to Yes). Purchases tab: set "dispute prefilled purchases?" to No (it defaults to Yes). UEDCL purchase invoices come in from EFRIS automatically.
  4. Review Input Tax Allowed, VAT Withholding Credit and the Tax Summary: sales, output VAT, input VAT, net VAT.
  5. Aaron submits. Save the acknowledgement (EB…) receipt as URA_VAT_Return_<Mon><YYYY>_Ack_<ref>.pdf in that month's Invoices folder.

Step 4: Close out

In that month's working notes, record: the filed figures, the acknowledgement number, the FDNs, which invoices carry over into next month's return, and follow-ups. Then post the VAT payment in ERPNext against the VAT account.

Known issues

Other URA obligations

UNVERIFIED: confirm with the accountant.

Obligation When Status
VAT return 15th of each month Filed monthly (this page)
PAYE 15th of each month, once there are salaried staff Registered Aug 2025; confirm whether returns are due
Withholding tax When paying suppliers that require it To confirm
Provisional income tax During the year To confirm
Annual income tax return, FY2025-26 About 31 Dec 2026 To confirm with the accountant
Tax and URA

VAT treatment decisions

VAT treatment decisions

Planned: not yet written. Owner: Aaron Tushabe. Trigger: the accountant's VAT review comes back.

A newest-first log of VAT decisions:

Date Decision Why Who
Sep 2026 File the monthly return as prefilled from EFRIS; never add carried-over invoices by hand (routine) eTax prefills by invoice date Aaron Tushabe

To be decided with the accountant:

Funding

Who funds NFE, on what terms and against what plan: funders tracker, term sheets, grant applications, the capital target, and how owner and grant money is recorded. Adapted from GitLab's Investor Relations and FP&A pages, scaled down.

Funding

Fundraising Tracker

Name Type Priority Status Owner Remarks
Arinda Family  Recoverable Grant High 1k Contributed

Kimbowa Family Recoverable Grant High Offered 1k USD, not yet contributed

Tushabe Family Recoverable Grant High 10k USD Contributed on Dec 1st 2024

Added an addition ~1800 USD in October 2025
Mercy Corp Ventures Equity 
medium

Reviewed the deck in May 2025. 

While the team liked the community angle, the key concerns were

  1. The scalability of the model and
  2. Traction (it's still early)

Requested to be added to investor newsletter

Aaron Tushabe We are no longer pursuing equity funders because as a co-op, we don't have equity to offer. 
Energy Sector Management Assistance Program - ESMAP (World bank) Grant medium

Co-organises the Global Off-Grid Solar Forum & Expo with GOGLA (see GOGLA row).

Echoing Green Fellowship

Recoverable Grant high

Submitted on October 7th 2025. Not selected for the 2026 Fellowship.

Aaron Tushabe

2026 Fellows were announced Sept 1, 2026.

EEP Africa (Nordic Development Fund)

Grant high

Closed for 2025, planning to apply for 2026. Not sure when it opens again

Oct 28th 2026: the 2026 call (grants up to €500k, Uganda eligible, applicant registered 6+ months, co-financing required) closed on March 16th 2026 and we missed it. Watch eepafrica.org for the 2027 call, likely early in the year.

Aaron Tushabe

Solarise Africa won a €1M EEP Africa grant for Zambia/Uganda on a similar "reliable power where the grid fails" case (USEA briefing, Oct 20th 2026).

Africa Climate Change Fund

Grant



African Green Banks (AFBD)

Grant + Debt



Alliance for Green Infrastructure (AFDB)

Grants + Debt high Send an email to info@africa50.com  on August 23rd.  Aaron Tushabe

Beyond the Grid



No open applications yet 

 

https://beyondthegrid.africa/funding-rounds/



US Department of Energy

Grants



Nithio

Debt
Needs at least 2 years of business to pass loan application Aaron Tushabe

Mission 300 (World bank)


low

Focusing on power for remote and off grid communities so no aligned with our early stage objectives

Factor E

Equity


We are no longer pursuing equity funders because as a co-op, we don't have equity to offer. 

Kiva.org

Debt


Check back on August 15th
Digital Africa ?
Applied on June 17th 2025. Waiting for Feedback Aaron Tushabe
Aquarious Foundation Grant or Debt
Applied on June 17th 2025. Waiting feedback Aaron Tushabe
Start-coop Grant

Applied on June 18th. 

 

We did not qualify because we are not (yet) based in North America

Aaron Tushabe Expect $5k to $50k
LabStart Grant

Submitted application on July 7th. 

Not Accepted

Aaron Tushabe
CataCap Grant / DAF medium
Aaron Tushabe 
Mission300 Grant? 

Aaron Tushabe
Energy IoT Open Source Grant
Pledged 3k by Arila Barnes (founder and CEO) Aaron Tushabe Received 2.8k in April 2026
Project Spark EU Grant high

Submitted on September 15th 2025 with EnAccess and The Gym Rwanda

Aaron Tushabe Got feedback on Nov 21st 2025 that we did not meet the eligibility criteria but they didn't elaborate on which criteria

AMAP
medium




Praxis
High

Submitted on September 20th 2025. 

Aaron Tushabe We did not get in. They thought we were among the top applicants and recommended we apply again next year.
UGEFA
medium


Aaron Tushabe / Dansturn Requires 2+ years of operations so we would need to apply via green volta
Green Volta Recoverable Grant high

Waiting on Budget from NFE to confirm how much they can contribute

Dansturn
Samuel Tondo Recoverable Grant high

Waiting on Budget from NFE to confirm how much they can contribute



Digital Energy Challenge Grant high

Applied to the Tech Accelerator on June 17th 2026 (application 00298). Also started a Partnership application (00076) on June 12th.

Followed up with contact@afddigitalenergychallenge.com on Aug 25th; no reply yet.

Still no reply in NFE mail as of Oct 28th 2026. Chase again.

Aaron Tushabe

Asked for €150k (€112.5k grant + €37.5k expert support).

D-Prize Grant high

Submitted on October 28th 2025. Not selected.

Aaron Tushabe

The 2026 competition is open again (reminder email Oct 12, 2026), so consider reapplying.

MSISV Grant and Equity  high

Email sent on Oct 16th 2025 to find out when applications will be open again

Aaron Tushabe
Sunbird AI  Fellowship

They are offering a research program that could help us develop V1 of our autonomous microgrid

Aaron Tushabe 

Sustainable Energy Fund for Africa (SEFA)

Grant low

No links to getting involved

Aaron Tushabe

Energy IoT Open Source

Donations medium

EIoT can service as a fiscal sponsor to receive tax deductible US donations on our behalf. 


Need to register a US entity for this 

Funding Hope

Crowd funding medium


Aaron Tushabe

Develop Ventures

Grant matching  medium

Uganda not eligible right now

Aaron Tushabe  Closes Dec 31 2025

Carbon Credits


low

Initial meeting with Ashaba told us that this is going to be a long lead time option to explore.. at least 7 years before any credits are verified and bankable

Aaron Tushabe

DRK Foundation


high

Focusses on post pilot, pre-scale. I think we are not yet post pilot

Aaron Tushabe

IEEE Smart Village (ISV)

Grant (staged seed funding) high

Intro email sent on Oct 20th 2026 to Abdullateef Aliyu (abdullateef@ieee.org), Africa Regional Working Group, cc smartvillagestaff@ieee.org. Asked whether grid-connected urban microgrids are in scope and requested a call.

Waiting for reply; follow up early November if no response.

Aaron Tushabe

First round is usually up to $25k, with follow-on funding up to $200k after results.

Intake needs a 2-page concept note, lean canvas and 5-year cash flow forecast; the regional group mentors the proposal, then the Project Development Committee reviews it quarterly (6–8 weeks), then a contract is signed (2–4 weeks).

Most spend should go to income-generating assets, and the project must cover electricity, education and enterprise. Paid in tranches against progress reports.

Met ISV at PowerAfrica Nairobi, Sept 2026.

GOGLA: Global Off-Grid Solar Forum & Expo (Kigali, Oct 27–29th 2026)

Event / investor matchmaking high

Dansturn is in Kigali for OSEAS (Oct 26–27th). A free-pass request to Laura Bonilla (l.bonilla@gogla.org, Events), cc Megan Taylor (m.taylor@gogla.org), was drafted on Oct 21st but there's no sign it was sent as of Oct 28th.

Full pass is $1,650 and the expo-only pass is $50; no budget for either. The local-company investor roundtable is on Oct 29th.

Dansturn / Aaron

Even if we can't attend: sign up for the GOGLA Virtual Pitchbook (seen by investors before and after the forum), and get the 2026 Off-Grid Solar Market Trends Report launched there.

GOGLA members get event discounts.

USEA Solar Innovation Challenge & Business Pitch

Pitch / event medium

Applied on Aug 15th 2026 to pitch the RPM at the USEA National Solar Expo (Aug 26–28th). USEA acknowledged on Aug 20th, but we got no decision despite follow-ups on Aug 20th and 25th.

Aaron Tushabe

Next Expo is Aug 25–27th 2027; ask to be on the pitch list early.

Check whether NFE is a USEA member; every weekly briefing pushes membership.

GET.invest Finance Readiness Support

Advisory (technical assistance) high

Not applied. Runs year-round in rounds; the last round closed on Oct 20th 2026, and feedback comes 6–8 weeks after each round closes.

Aaron Tushabe

Free support for early-stage, locally owned companies: financial model, pitch deck, investor introductions. Apply at apply.get-invest.eu.

EU Delegation to Uganda (Uganda–EU Business Forum)

Investor pitch / EU programmes medium

The forum ran Oct 20–21st 2026 and we missed the pitch session, which needed a minimum raise of €0.5M. Ministers used it to court EU energy investors.

Aaron Tushabe

Send an intro to Cristina Banuta (Cristina.BANUTA@eeas.europa.eu) framing Garuga plus scale-up as €0.5M+, and ask about EU programmes for Ugandan energy SMEs.

Transforming Energy Access (UK Ayrton Fund)

Grant medium

No open call found (Oct 2026). The UK extended the Ayrton Fund. Its Beyond-Zero project (locally repairable, expandable storage replacing generators) is led by Acele Africa.

Aaron Tushabe

Watch for calls; explore partnering with Acele Africa.

ASCENT Project Preparation Facility (World Bank / COMESA)

Grant (project preparation) + TA low

Not eligible yet: needs 3+ years of operations, $150k+ minigrid revenue, an active financing deal and 20% co-financing. The first cycle closed on Aug 31st 2026.

Grants of $50k–200k. Revisit in 2027–28.

UECCC Solar Loan Program

Debt (consumer finance via banks) low

Not explored. Household and business solar credit through participating banks.

Possible way to finance Garuga household connections later.

Funding

Recoverable Grant Term Sheet - 50k Example

1. Grantor (Funder):

Green Future Foundation (GFF)

2. Grantee (Recipient):

Nearly Free Energy Co-op (NFE)

3. Purpose of Grant:

To fund the capital expenditure and initial setup of a 20 kW solar microgrid serving 50 households in [Community Name], Uganda.

4. Grant Amount:

$50,000 USD

5. Disbursement Schedule:

⚖️ 6. Recoverability Clause (Repayment Terms):

Trigger

Repayment Terms

If the microgrid achieves ≥ $1,000/month in net revenue for 6 consecutive months within 3 years

Grantee repays the full grant amount over 4 years, at 0% interest

If the project is not commercially viable by year 3 (e.g., < $1,000/month in net revenue)

No repayment is required

If the grantee secures follow-on grant investment of > $100,000

Grantee repays full grant or 10% of the investment value, whichever is lower


7. Use of Funds:

8. Reporting Requirements:

Quarterly reports for 3 years on:

9. Intellectual Property (IP):

All software or monitoring systems developed under this project must remain open-source and licensed under AGPL or GPL or any other Free Software license

10. Dispute Resolution:

Mediation first, then arbitration in Uganda under the Uganda Centre for Arbitration and Dispute Resolution (CADER).

Funding

Google for Startups Accelerator –Application



1. Applicant Contact Information

  1. What is your full name (first and surname)?

  2. Your Business/Company Email Address

  3. What is your role?

  4. Preferred Contact Number

  5. Contact Number Type


4. Additional Information

  1. Why are you interested in joining this program? How can Google help?

Response:
Nearly Free Energy builds community-owned microgrids to deliver affordable, reliable electricity in underserved communities. Our mission is to lower energy costs while improving resilience through decentralized systems.

As we scale beyond pilots, we are increasingly using software and AI for distribution, forecasting, billing, and reliability. Google can help us accelerate this by enabling scalable microgrid OS development on GCP with advanced analytics and AI.

  1. How did you hear about this program?

Response:
LinkedIn startup and AI founder community.

  1. If selected, are you interested in participating in possible interviews with local press outlets, as requested?

Response:
Yes.

  1. Please list any past accelerator or startup program participation.

Response:
Please list links to any press coverage, awards or nominations.

n/a

https://enaccess.org/open-source-energy-access-community-showcase-with-aaron-tushabe/

  1. Do you want to receive updates or communication from the Accelerator program about other programs within Google?

Response:
Yes.


5. AI & Technology

  1. How is your company primarily leveraging AI?

Response:
We are building AI as an intelligent grid operator for our microgrids—optimizing distribution, forecasting demand, managing battery dispatch, and detecting anomalies. We are also developing agents to automate support, billing, and outage notifications.

  1. What are the key 1–3 challenges that your company is facing in adopting AI?

Response:
(1) Limited high-quality real-time energy data; (2) Integrating AI with physical infrastructure and edge devices; (3) Cost-efficient deployment in low-resource environments.

  1. What kind of data does your AI model use?

Response:
Energy consumption data; meter readings; system performance data; environmental and load patterns.

  1. What data do you use as part of your AI solution?

Response:
Smart meter data, usage logs, battery and solar performance data, and system telemetry.

  1. How would you categorize your product?

Response:
AI-enabled energy infrastructure platform.

  1. Do you have a dedicated AI team?

Response:
Cross-functional team with growing AI specialization.

  1. In 2 sentences, explain what problem you are solving with AI.

Response:
Energy systems lack real-time intelligence to manage distributed supply, storage, and demand, leading to outages and inefficiency. We use AI as a grid operator to optimize distribution, forecast demand, manage storage, and automate customer interactions.

  1. AI maturity

Response:
Early production-stage AI with live data pipelines and initial models in deployed microgrids, transitioning toward autonomous operations.

  1. What kind of AI does your product use?

Response:
Currently AI-assisted development; roadmap includes predictive analytics, time-series forecasting, and optimization models for demand, dispatch, and anomaly detection.

  1. Cloud platform

Response:
Google Cloud Platform (GCP).

  1. Which Google products are you using?

Response:
GCP (Compute Engine, Cloud Run, Cloud Storage) and BigQuery.

  1. Do you use AI/ML today?

Response:
Yes—AI-assisted development and early data-driven monitoring, with planned rollout of forecasting, optimization, and automated operations.

  1. System architecture

Response:
Edge devices (smart meters via RS-485/Modbus) feed data to local controllers, then to GCP (Cloud Run, Storage). BigQuery supports analytics. We are adding AI for forecasting, anomaly detection, and optimization within a modular microgrid OS.

  1. Accelerator goal

Response:
Build an AI-driven microgrid OS that autonomously balances supply/demand, forecasts load, optimizes battery use, and manages operations. This includes agent workflows for forecasting, anomaly response, billing, support, and outage alerts, targeting improvements in uptime, cost/kWh, and customer experience.


6. Traction & Financials

  1. Investors

Response:
Founder, friends, and family.

  1. MRR

Response:
~$120–$150 MRR from a live pilot (~UGX 450,000–550,000/month), with expansion pipeline.

  1. Revenue source

Response:
Electricity sales (NFE-owned) plus upcoming SaaS fees and revenue share from partner-owned microgrids.


7. Product & Market

  1. Stage

Response:
Live pilot with revenue (10 customers) and active expansion pipeline.

  1. Customer

Response:
Primary: developers, landlords, and community operators. End users: residents benefiting from reliable power, automated billing, and improved service.

  1. Customers now

Response:
10 paying customers on a live pilot microgrid, with expansion pipeline.

  1. Business model

Response:
(1) NFE-owned: revenue from electricity sales; (2) Partner-owned: SaaS fee per connection + % of energy sales; plus maintenance and value-added services.

  1. Industry

Response:
Energy / Climate Tech

  1. Verticals

Response:
Climate tech; energy infrastructure; smart grids.

  1. Company description

Response:
Nearly Free Energy advances energy resilience, reliability, and abundance through community-owned solar and battery-backed smart microgrids. Grid-connected systems improve stability by managing peak load.

  1. Problem

Response:
Electricity is unreliable, costly, and lacks real-time intelligence. Peak demand strains grids, while communities lack local control.

  1. Solution

Response:
Grid-connected, community-owned microgrids with an AI-driven OS that optimizes distribution, manages peak load, automates operations, and improves reliability and cost.


8. Team

  1. Full-time founders

Response:
1

  1. Founder

Response: Aaron Tushabe – Co Founder

Hillary Arinda - Co founder 
Dansturn Kimbowa - Co Founder 

  1. Employees

Response: 2


9. Uploads

  1. Pitch deck

Response:
[]NFE Pitch - Funders.pdf

Response:
N/A

  1. Photos

PXL_20251217_100220589~2.jpg
[PENDING]

Response:
NFE site logo.png


  1. Submit

  2. Communications

Funding

Google.org Impact Challenge: AI for Government Innovation

Nearly Free Energy (NFE) – Draft Application


I. Organization and Submitter Info

1. Organization Name
Nearly Free Energy

2. Country
Uganda (with operations expanding to East Africa and pilot work in the United States)

3. Classification
Social Enterprise

4.a Founded
2024

4.b Annual Budget (USD)
~$50,000 (early-stage, pilot operations)

4.c Full-time Employees
2

5.a Website
https://nearlyfreeenergy.com (or placeholder)

6. Google.org funding before
No

7. Discovery
Social Media (LinkedIn)

8. Primary Contact
Aaron Tushabe – Co-Founder


II. Impact

11. Project Name
AI-Powered Distributed Grid Intelligence for Public Infrastructure

12. Topics
Resilience; Economy (public infrastructure and affordability)

13. Geographic Scope
County / Municipal; National (scalable)

14. Regions
EMEA; North America

15. Stage
Prototype (live pilot with paying users)


16. Problem Statement

16.a
Public electricity systems in rapidly growing urban and peri-urban areas are increasingly unreliable, expensive, and unable to manage real-time demand fluctuations. Utilities lack visibility into distributed consumption and have limited tools to optimize load, leading to frequent outages, inefficient infrastructure investment, and constrained economic activity.

16.b
This project directly affects grid load balancing, demand forecasting, outage response, and infrastructure planning workflows within utilities and regulatory bodies. It introduces real-time decision support and automation into how public electricity systems are monitored, managed, and optimized.

16.c
The challenge is significant and growing at a global scale. In 2013, approximately 1 billion people lacked access to electricity, with another 1 billion connected to unreliable grids. By 2023, global electrification efforts reduced those without access to ~600 million, but the number of people connected to unreliable grids has surged to an estimated 3 billion. In South Africa, recurring load shedding disrupts economic activity and essential services, while in Lagos, Nigeria, widespread reliance on 24/7 diesel generators drives high costs and severe air pollution. These trends highlight a critical gap: expanding access alone is not enough—there is an urgent need to improve reliability through intelligent, flexible grid systems.


17. Proposed Solution

17.a
We are building an AI-powered distributed grid intelligence platform that serves as a real-time control layer for national electricity systems—turning community-scale microgrids into coordinated assets that improve reliability, reduce peak demand, and expand affordable access.

17.b
The platform integrates smart meter and telemetry data (RS-485/Modbus), edge controllers, and GCP (Cloud Run, BigQuery) with AI models for time-series forecasting, demand optimization, anomaly detection, and agentic workflows. These AI agents continuously analyze grid conditions and autonomously trigger actions such as battery dispatch, demand response, outage alerts, and customer support, enabling dynamic, real-time system optimization.

17.c
We have demonstrated feasibility through a live pilot microgrid with paying users, where we collect real-time energy data and operate a working system that improves uptime, visibility, and load balancing. Early results show smoother demand curves and reduced dependence on unstable grid supply.

17.d
To ensure adoption, we are designing the platform as a government-integrated system with dashboards, APIs, and reporting aligned to utility workflows such as grid planning, outage management, and demand response. We are engaging regulators and utilities to enable distributed energy resources to function as coordinated grid assets within national systems.


18. End Beneficiaries

18.a
Urban and peri-urban households, small businesses, utilities, and regulators.

18.b
We incorporate feedback through pilot deployments, user billing data, and direct engagement with communities and operators.

18.c
Initial reach: hundreds of users, scaling to tens of thousands across multiple deployments over 36 months.


19. Expected Outcomes

19.a
Improved electricity reliability, reduced outages, and more efficient grid utilization.

19.b
Metrics: uptime, cost per kWh, peak load reduction, customer satisfaction.

19.c
Failure signals: no measurable improvement in reliability, low adoption by utilities, or inability to integrate with existing workflows.

19.d
Expected improvements include 20–40% reduction in peak load stress and significant improvements in uptime.


19. Expected Outcomes

19.a
This solution will improve public electricity services by increasing reliability, reducing dependence on diesel generation, and enabling governments and utilities to manage distributed energy resources as coordinated grid assets. It will expand access to clean, affordable, and reliable electricity while improving planning and operational efficiency.

19.b
Key metrics include: number of people with improved reliable electricity access; MWh of distributed energy storage deployed; reduction in peak grid load (%); uptime improvements (%); reduction in diesel generator usage; and number of utilities/regulators actively using platform data for planning.

19.c
Failure indicators include: inability to scale deployments; low adoption by utilities or regulators; no measurable improvement in reliability or peak load reduction; or lack of engagement from DER operators and ecosystem partners.

19.d
Within 12 months, we aim to enable deployment of at least 1 MWh of distributed energy storage across Africa through direct deployments and partner-led adoption. Within 36 months, we target improving access to reliable, clean electricity for at least 1 million people by scaling autonomous microgrids and supporting an open ecosystem of DER operators using our platform.


III. Innovative Use of Technology

21. Why is your proposed solution necessary to address the problem versus currently available alternatives?
Current approaches either expand centralized grid capacity (slow, capital-intensive) or deploy isolated off-grid systems (limited coordination, no grid support). Existing tools lack real-time, system-wide intelligence and cannot integrate distributed energy resources (DERs) into utility operations. Our solution introduces an AI-driven control layer that coordinates microgrids as grid assets—enabling forecasting, automated dispatch, and demand response. This uniquely improves reliability at scale, reduces peak stress without new generation, and provides governments with actionable, real-time planning data.

20. Technologies
GCP (Cloud Run, BigQuery), smart meters, edge computing, time-series AI models, optimization algorithms.

21. Why needed
Existing systems lack real-time intelligence and integration of distributed energy resources.

22. Dataset
Yes

23. Data access
Through smart meters, utility collaboration, and anonymized operational data.

24. Ethics
We use anonymized data, ensure transparency, and align with responsible AI principles.

25. Open source
Yes

26. How might you leverage Google's pro bono technical support and expertise to accelerate project outcomes?
We will leverage Google’s AI and cloud expertise to build and scale our distributed grid intelligence platform. Specifically, we seek support in developing robust time-series forecasting and optimization models, designing agentic AI workflows for autonomous grid operations, and optimizing our architecture on GCP (BigQuery, Cloud Run) for real-time data processing at scale. We also aim to learn from Google’s experience operating highly reliable, large-scale infrastructure (e.g., data centers) to inform how we design resilient, fault-tolerant energy systems. Additionally, we would benefit from guidance on responsible AI deployment, model evaluation, and integration with public sector data workflows to ensure reliability, scalability, and government adoption.
We will leverage Google’s AI and cloud expertise to build and scale our distributed grid intelligence platform. Specifically, we seek support in developing robust time-series forecasting and optimization models, designing agentic AI workflows for autonomous grid operations, and optimizing our architecture on GCP (BigQuery, Cloud Run) for real-time data processing at scale. We would also benefit from guidance on responsible AI deployment, model evaluation, and integrating our system with public sector data workflows to ensure reliability, scalability, and government adoption.
AI model optimization, scaling infrastructure, and system architecture design.


IV. Feasibility

27. Why is your organization uniquely positioned to lead this project?
Nearly Free Energy uniquely combines hands-on microgrid deployment with AI-driven software development in emerging markets. We operate a live pilot with real users and data, giving us practical insight into grid constraints, customer behavior, and operational challenges. Our team spans energy systems, embedded hardware, and cloud/AI engineering, enabling end-to-end execution from meters to models. We are also actively engaging regulators and utilities on DER policy and integration, positioning us at the intersection of infrastructure, data, and government adoption—where this problem must be solved.

29. Describe the work you have done to demonstrate the technical feasibility of your approach.
We have deployed a live pilot microgrid with ~10 paying customers, instrumented with smart meters (RS-485/Modbus) and cloud ingestion to GCP (Cloud Run, BigQuery). We collect continuous telemetry (kWh, voltage, load profiles) and run initial analytics for load visibility and anomaly detection. We have tested controlled battery dispatch to smooth peak demand and validated end-to-end data pipelines (edge → cloud → dashboards). Success metrics include sustained data uptime (>95%), accurate load measurement, improved peak smoothing on pilot circuits, and reliable billing/alert workflows. These results demonstrate feasibility of real-time data-driven operations and AI-assisted optimization.

30. Key technical risks, dependencies, maintenance, and mitigation strategies
Key risks include hardware integration variability, intermittent connectivity, data quality gaps, and model performance in low-data environments. Adoption depends on utility/regulatory alignment and integration with existing workflows. Ongoing needs include device maintenance, data pipeline reliability, and model monitoring. Mitigations: modular, standards-based design (Modbus/REST); offline-first edge control with local fallbacks; redundancy and buffering for connectivity; continuous data validation and monitoring; phased model rollout with human-in-the-loop; training and SLAs with partners; and close coordination with regulators/utilities to ensure smooth integration and sustained operations.

31. Policy, administrative, privacy, and logistical risks and mitigation
Policy risk: delays or uncertainty in DER interconnection and PPA frameworks. Mitigation: early engagement with ERA/utility stakeholders, alignment to existing codes, and pilot-based regulatory sandboxes.
Administrative risk: slow procurement/adoption within public entities. Mitigation: lightweight pilots, clear ROI metrics, and integration with existing workflows and reporting.
Privacy/data risk: handling consumer energy data. Mitigation: data minimization, anonymization, role-based access, encryption in transit/at rest, and compliance with local data protection laws.
Logistical risk: installation/maintenance at scale. Mitigation: standardized hardware kits, local partner installers, remote monitoring, and SLA-driven support.

32. How will public servants be trained, supported, and incentivized to adopt and use this solution as part of their regular workflows?
Government entities are not primary users of the platform; their role is to create enabling regulatory frameworks that build trust in DER operators. We will support regulators through targeted briefings, data-sharing dashboards, and policy workshops that translate system insights into actionable regulation. By providing clear visibility into demand patterns, grid impact, and reliability improvements, we enable regulators to confidently design and enforce DER policies. Incentives for adoption come from improved oversight, better planning data, and the ability to expand reliable electricity access without additional public infrastructure investment.

33. Provide additional detail about 3-5 key project team members, especially those in technical roles.
Microgrid/Energy Systems Engineer – designs and operates DER systems, battery dispatch, and grid integration.
Backend/Cloud Engineer – builds scalable data pipelines and APIs on GCP (Cloud Run, BigQuery).
Data Scientist/ML Engineer – develops forecasting, optimization, and anomaly detection models.
Embedded/IoT Engineer – integrates smart meters (Modbus/RS-485) and edge controllers.
Operations/Deployment Lead – manages field installation, partner coordination, and system reliability at scale.
Policy & Partnerships Lead – drives regulatory engagement (e.g., ERA), supports DER policy development, secures government buy-in, and enables partner operators in new markets to navigate regulation and scale deployments.

VI. Scalability

36. Based on your previous selection, detail how you’d replicate success beyond your initial proposal.
We will scale through a dual approach: direct deployments and an open ecosystem model. We will standardize our microgrid architecture (hardware + AI software) into repeatable deployment kits and publish the platform as open source, enabling local DER operators to adopt and deploy in their markets. We will partner with utilities and regulators to integrate these systems into national grids, creating a coordinated network of distributed assets. As we scale, we will expand our team across engineering, partnerships, and operations to support multi-country deployments and ecosystem growth.

37.a Financial sustainability
Sustained via electricity sales (10–30% gross margins) from NFE-owned microgrids, plus SaaS fees and revenue share from partner-operated systems. As deployments scale, recurring revenues from energy and platform services cover operations, maintenance, and continued expansion without grant funding.

37.b Technical sustainability
Cloud-native architecture on GCP with automated monitoring and CI/CD; offline-capable edge controllers ensure resilience. Open-source platform enables contributions from partners/operators. Standardized hardware kits and SLAs support maintenance, while local partners handle installation and support at scale.

38. What key learnings, datasets, models, codebases, or other artifacts will your project generate, and how will you share them with other organizations to help advance the field?
We will generate real-world energy datasets (anonymized usage, demand response, grid performance), AI models for forecasting and optimization, and an open-source microgrid OS. Our company culture is to work in the open—we already publish our work via our website and public wiki (nearlyfreeenergy.com; bookstack.nearlyfreeenergy.com). We will continue sharing code, documentation, and operator playbooks to enable other DER operators and governments to replicate and build on our approach globally.

VII. Project Budget and Timeline

41. Funding Request
$2,500,000


42. Personnel & Staffing — $600,000
Covers salaries for core team: AI/ML engineers, backend/cloud engineers, energy systems engineers, and operations staff. Includes hiring additional technical talent to build forecasting, optimization, and agentic AI systems, as well as project management and field deployment coordination.

43. Technology Development — $300,000
Development of AI models (forecasting, optimization), software platform (microgrid OS), APIs, dashboards, and data pipelines. Includes costs for software engineering, model training, testing, and integration with edge devices and utility systems.

44. Infrastructure & Deployment — $1,900,000
Procurement and deployment of smart meters, edge controllers, and battery-integrated systems for pilot and scale-up sites. Battery storage is a primary cost driver, with an estimated requirement of ~1.5 kWh per household at approximately $450 per kWh deployed. This category covers battery capacity, installation materials, field operations, connectivity, and cloud infrastructure (GCP compute, storage, and data processing).

45. Partnerships & Ecosystem Growth — $150,000
Government engagement, regulatory workshops, and partnership development with utilities and DER operators. Includes ecosystem-building activities, training sessions, and support for onboarding partners to deploy and operate microgrids using the platform.

46. Monitoring, Evaluation & Overhead — $50,000
Measurement of impact metrics (uptime, peak reduction, access), reporting, and program evaluation. Includes minimal indirect costs such as administration, coordination, and compliance (kept under 5%).

Funding

Funding target: ten Reliable Power Microgrids (Oct 2026)

Provisional, 21 Oct 2026. Owner: Aaron Tushabe. NFE's working fundraising target for the revised funders' pitch. Nothing here is committed: the allowances are planning figures until site assessments and EPC quotes come in, and the funders' pitch page stays unchanged until the deployment milestones are set.

The target

US$500,000 of total programme capital to target ten new Reliable Power Microgrids in Uganda over an indicative 18 months:

Illustrative portfolio

Deployment type Number Indicative battery size Installed allowance each Total
Smaller Commercial RPM 3 30–40 kWh US$15,000 US$45,000
Medium Commercial RPM 3 60–80 kWh US$25,000 US$75,000
Large Commercial RPM (Worship Harvest scale) 1 ~120 kWh US$45,000 US$45,000
Residential RPM 3 Site-dependent US$50,000 US$150,000
Installations 10 US$315,000
Monitoring, preparation, delivery, software, working capital, contingency US$185,000
Programme total US$500,000

The commercial allowances cover solar, inverters and installation, not just the battery, and average about US$23,600 per commercial site.

How the figure was reached

Step Target What changed
First pass US$600,000 7 commercial + 3 residential sites; about US$430,000 for installations
Checked against NFE's July 2026 SRNE supplier price list US$650,000 Equipment for a ~120 kWh / 60 kW / 40 kWp commercial system came to about US$30,750 before the remaining installation costs, so the plan allowed US$45,000 per commercial site and US$50,000 per residential site
Worship Harvest treated as one of the larger sites, not the average (Aaron) US$500,000 Commercial sites split into 3 smaller, 3 medium and 1 Worship Harvest-scale; the US$185,000 non-installation budget kept

Assumptions and caveats

Draft pitch line

NFE is raising US$500,000 to target ten new Reliable Power Microgrids in Uganda, with 60–80% of deployments serving commercial facilities and the remainder serving residential communities. Over an indicative 18-month programme, this capital will fund customer assessments, microgrid installations, and the software and operating capacity needed to deliver reliable electricity as a service.

ChatGPT's wording, with the figure updated from US$650,000 to the revised US$500,000.

Still to settle

Related: NFE Commercial Reliable Power Microgrids · Commercial RPM economics and bankability · Commercial RPM decision log · Fundraising Tracker

Source: Aaron's ChatGPT working session "Commercial RPM Modeling", 21 Oct 2026.

Funding

Financial Model Game plan - Q2


🎯 The 3 Goals

  1. Microgrid unit economics model

  2. Fundraising narrative

  3. Stress test your monetization models (Owned vs Partner)


🧭 Phase 1 (Week 1–2): Build Financial Clarity (Foundation)


1) Microgrid Unit Economics Model


What you’re building


A per-site financial model that answers:


“If we deploy one microgrid, does it make money?”


Step 1: Define core inputs


Start simple (don’t overcomplicate):


Costs (CapEx)


Revenue


Operating costs (OpEx)


Step 2: Build outputs


You want 5 key metrics:


Step 3: Answer key questions


Deliverable


👉 A simple Google Sheet model (I can help you structure this next)


🧭 Phase 2 (Week 2–3): Stress Test Your Two Models


Now apply the model to your two strategies:


Model A: NFE-Owned Microgrid


What to evaluate


Key insight you want:


“How fast can we scale before we run out of cash?”


Model B: Partner-Owned Microgrid


What to evaluate


Key insight:


“Is this a high-margin, low-capex business?”


Compare side-by-side

Metric

NFE-Owned

Partner Model

Capital required

High

Low

Margin

High (long-term)

Lower but steady

Risk

Higher

Lower

Speed of scale

Slower

Faster


Strategic output


You should be able to say:


👉 This becomes core to your pitch


🧭 Phase 3 (Week 3–4): Build Your Fundraising Narrative


Now turn your numbers into a story investors understand


1) Problem (you already do this well)


2) Solution (tighten this)


3) Business Model (now backed by numbers)


Use your model to clearly show:


4) Traction


5) Scaling Strategy (THIS is key)


From your analysis:


Example:


6) Use of funds


Your model should let you say:


Deliverable


👉 A clean 8–10 slide pitch (or 1–2 page memo)


🧭 Phase 4 (Week 4–6): Add Financial Discipline


This replaces what a CFO would start doing.


1) Monthly financial tracking


Track:


2) Define 5 core KPIs


For NFE, I’d suggest:


3) Cash planning (critical)


Build a simple view:


⚠️ Critical mindset shift

You’re moving from:


“We are building microgrids”


to:


“We are deploying capital into energy assets that must return money”


That shift is what investors care about.


🧩 How this all connects

Funding

Owner's capital, grants and related parties

Owner's capital, grants and related parties

Planned: not yet written. Owner: Aaron Tushabe. Trigger: the accountant decides how recoverable grants and family contributions are classified, or the next funder disbursement arrives, whichever comes first.

What we already do:

What this page will cover: