Renewable Energy Planning Training Course

Duration 10 days 19 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Energy Managers, Utility Planners and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-ETR-041

Before you join: Participants should have basic familiarity with energy bills, electricity consumption, energy projects or sustainability reporting.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Energy planners must turn national targets, corporate commitments and utility investment plans into projects that can operate reliably, secure finance and meet environmental obligations. Renewable generation is variable, grid capacity is constrained, land and permitting can delay delivery, and cost comparisons often omit balancing, network and lifecycle impacts. Decisions therefore require more than technology knowledge: they require credible demand forecasts, resource evidence, system modelling, financial appraisal and stakeholder alignment.

This course equips participants to prepare renewable energy plans for cities, utilities, industrial sites, public institutions and large property portfolios. Participants assess baseline energy use and emissions, forecast demand, screen renewable resources, compare technology options and model supply-demand balances. They apply integrated resource planning, levelised cost of energy analysis, lifecycle emissions assessment, grid integration studies and storage sizing. The course also addresses procurement routes, power purchase agreements, permitting, environmental and social safeguards, financing structures, implementation governance and monitoring indicators.

Teaching combines focused technical briefings with case work drawn from utility, municipal, industrial and commercial energy settings. Participants work progressively on a planning case, using planning templates, demand and generation models, investment appraisal worksheets and risk registers. By the end of the course, each participant presents a complete renewable energy plan containing a baseline, targets, supply portfolio, financial case, delivery roadmap and monitoring framework that can be adapted for their employer.

The course is suited to professionals who contribute to energy strategy, capital planning, decarbonisation programmes, utility planning or renewable project portfolios. It is particularly relevant where teams need to translate high-level climate commitments into an investable and operationally credible energy transition plan.

What you will be able to do

  • Develop an energy baseline using consumption, demand, cost and emissions data
  • Prepare demand forecasts using end-use analysis, load profiles and scenario assumptions
  • Assess solar, wind, bioenergy and geothermal resources using screening criteria
  • Build a renewable supply portfolio using integrated resource planning methods
  • Calculate LCOE, net present value, internal rate of return and payback
  • Evaluate grid integration, storage sizing and renewable curtailment risks
  • Draft an implementation roadmap with procurement, permitting, financing and governance actions
  • Present a complete renewable energy plan supported by quantified assumptions and indicators

Benefits of attending

For you

  • Produce defensible renewable energy plans rather than isolated project proposals
  • Compare renewable technologies using resource, cost, reliability and emissions evidence
  • Contribute credibly to utility, municipal or corporate energy investment decisions
  • Communicate grid, storage and procurement requirements to technical and non-technical stakeholders
  • Build a portfolio-ready planning case for energy transition responsibilities

For your organisation

  • Creates investment plans grounded in demand data, resource evidence and financial appraisal
  • Reduces poorly scoped renewable projects and overlooked grid connection constraints
  • Improves alignment between decarbonisation targets, capital budgets and operational reliability
  • Strengthens procurement specifications for renewable power, storage and implementation services
  • Establishes measurable delivery roadmaps with accountable owners and monitoring indicators

Course modules

19 modules over 10 days

Participants can frame a renewable energy planning assignment, decision boundary and governance structure.

  • Energy transition drivers: security, affordability, emissions, resilience and industrial development
  • Planning boundaries defined by geography, assets, fuels, time horizon and authority
  • Integrated resource planning principles for supply, demand and network decisions
  • Stakeholder mapping identifies decision makers, affected groups, suppliers and regulators
  • Materiality screening ranks planning issues by impact, uncertainty and controllability
  • Governance roles established through RACI matrices and decision-rights registers

Participants can construct an auditable energy baseline from operational and utility data.

  • Energy balance maps trace purchased fuels, generation, losses and end uses
  • Twelve-month utility data cleansed for missing readings, outliers and tariff changes
  • Load duration curves distinguish baseload, intermediate demand and peak demand
  • Interval-meter profiles reveal daily, seasonal and operational demand patterns
  • Energy intensity indicators normalised against production, floor area or service output
  • Data-quality assessment records source, owner, frequency, accuracy and known limitations

Participants can set energy transition targets using defensible emissions and performance metrics.

  • GHG Protocol scopes separate direct fuel, purchased electricity and value-chain emissions
  • Location-based and market-based electricity emissions calculated from documented factors
  • Baseline-year selection accounts for acquisitions, closures and material structural changes
  • Science-based target concepts translated into energy and renewable procurement milestones
  • Marginal emissions factors considered when prioritising demand shifting measures
  • Target cascade links enterprise commitments with sites, assets and accountable owners

Participants can forecast future energy demand and incorporate efficiency measures before supply investment.

  • End-use decomposition separates process, heating, cooling, transport and plug loads
  • Forecast scenarios apply activity drivers, efficiency assumptions and electrification pathways
  • Regression models test relationships between demand, weather and production variables
  • Energy conservation measures ranked by cost, savings, implementation difficulty and persistence
  • ISO 50001 energy review findings incorporated into demand-reduction opportunities
  • Residual demand profiles prepared after efficiency, fuel switching and demand response

Participants can screen renewable resources and document their suitability for planning decisions.

  • Solar resource screening uses irradiation, shading, orientation and usable-area constraints
  • Wind assessment considers hub-height speed, turbulence, wake losses and seasonal variation
  • Bioenergy feedstock analysis examines yield, competing uses, moisture and transport distance
  • Hydropower and geothermal opportunities screened against resource certainty and site conditions
  • GIS suitability layers combine resource, terrain, land use and exclusion zones
  • Resource uncertainty expressed through P50, P90 and long-term correction assumptions

Participants can select renewable technology configurations against defined planning criteria.

  • Technology screening matrices compare maturity, scale, dispatchability, land and water needs
  • Solar photovoltaic configurations assessed: rooftop, ground-mounted, floating and tracking systems
  • Wind turbine selection considers rotor diameter, hub height and grid connection capacity
  • Biomass conversion routes compared: combustion, digestion, gasification and liquid fuels
  • Hybrid system architectures combine renewable generation, storage, grid supply and backup
  • Design assumptions documented through equipment ratings, availability and degradation factors

Participants can develop a renewable supply portfolio matched to demand and planning objectives.

  • Hourly energy balance matches forecast demand with generation and storage output
  • Capacity factors distinguish installed capacity from expected annual energy production
  • Portfolio diversification reduces exposure to resource variability and technology outages
  • Scenario analysis compares least-cost, high-renewable, resilience and accelerated-transition portfolios
  • Renewable share metrics distinguish annual matching from time-matched clean electricity
  • Planning reserve margins test adequacy under demand peaks and generator outages

Participants can identify grid integration requirements and reliability risks for renewable portfolios.

  • Interconnection studies assess voltage, thermal loading, protection and fault-level impacts
  • Variable renewable energy affects frequency response, ramping and operating reserves
  • Curtailment analysis identifies surplus generation, congestion and inflexible operating constraints
  • Hosting-capacity assessment determines feasible distributed generation without network reinforcement
  • Grid code requirements reviewed for ride-through, reactive power and communications capability
  • Connection queues, upgrade costs and permitting lead times incorporated into schedules

Participants can evaluate storage and flexibility options using system need and operating value.

  • Storage use cases distinguish energy shifting, peak shaving, reserves and backup
  • Battery sizing calculates power, energy duration, depth-of-discharge and degradation assumptions
  • Dispatch strategies compare self-consumption, tariff arbitrage and reliability priorities
  • Demand response identifies flexible loads, control methods and participant constraints
  • Thermal storage assessed for cooling, heating and industrial process applications
  • Round-trip efficiency, cycle life and replacement timing incorporated into financial models

Participants can prepare financial appraisals for renewable energy investments and portfolios.

  • Levelised cost of energy calculates lifetime cost per unit generated
  • Discounted cash flow models include capital cost, operations, taxes and residual value
  • Net present value and internal rate of return compare investment alternatives
  • Sensitivity analysis tests energy yield, tariff, inflation, exchange rate and cost assumptions
  • Avoided-cost valuation captures displaced fuel, purchased power and capacity expenditure
  • Financial models separate nominal, real, pre-tax and post-tax cash flows

Participants can select procurement routes and identify key commercial terms for renewable supply.

  • Procurement strategy compares direct ownership, EPC, lease, concession and energy-as-a-service
  • Power purchase agreement structures allocate volume, price, certificate and curtailment risks
  • Request-for-proposal specifications define performance guarantees, milestones and acceptance tests
  • EPC contracts address scope interfaces, liquidated damages, warranties and change control
  • Bid evaluation combines technical compliance, lifecycle cost, delivery capacity and local content
  • Contract management plans assign performance monitoring, claims handling and reporting duties

Participants can assess financing structures and prepare information required by funders.

  • Project finance separates sponsor risk from project cash-flow repayment capacity
  • Debt-service coverage ratios test lender requirements under downside revenue scenarios
  • Blended finance combines public funds, concessional debt, guarantees and private capital
  • Green bonds and sustainability-linked loans require eligible-use and reporting controls
  • Financial additionality distinguishes projects requiring support from commercially viable investments
  • Investment memoranda present assumptions, risks, returns, approvals and funding requirements

Participants can integrate environmental and social safeguards into renewable energy planning.

  • Environmental and social impact assessment identifies receptors, impacts and mitigation measures
  • Land acquisition screening addresses tenure, displacement, access rights and compensation
  • Biodiversity risk assessment considers habitat fragmentation, bird mortality and seasonal restrictions
  • Community engagement plans define consultation methods, grievance channels and disclosure timing
  • Cumulative impact assessment examines multiple projects sharing ecosystems and infrastructure
  • Environmental management plans assign mitigation actions, monitoring indicators and responsibilities

Participants can map approvals and policy requirements affecting renewable energy delivery.

  • Permit registers identify environmental, land, construction, grid and operating approvals
  • Critical-path schedules sequence surveys, consultations, applications, reviews and conditions
  • Renewable energy incentives assessed for eligibility, duration, compliance and clawback risk
  • Electricity market rules affect dispatch, settlement, wheeling and certificate ownership
  • Policy gap analysis compares current rules with required investment conditions
  • Regulatory engagement plans document evidence requests, decision dates and escalation routes

Participants can convert a preferred energy portfolio into a controlled delivery roadmap.

  • Work breakdown structures define development, procurement, construction and commissioning packages
  • Stage-gate governance tests readiness before investment, procurement and construction decisions
  • Risk registers quantify probability, consequence, owner, treatment and residual exposure
  • Schedule risk analysis identifies permitting, supply-chain and grid-connection dependencies
  • Benefits-realisation plans link projects with energy, cost, emissions and reliability outcomes
  • Dashboard indicators track budget, schedule, capacity, generation and carbon performance

Participants can establish performance monitoring and improvement processes for renewable assets.

  • Operational KPIs track availability, performance ratio, capacity factor and forced outages
  • SCADA data validation detects sensor faults, communication gaps and implausible readings
  • Preventive maintenance plans schedule inspections, cleaning, lubrication and component replacement
  • Performance benchmarking compares actual generation against weather-adjusted expected output
  • Measurement and verification plans define boundaries, meters, baselines and reporting periods
  • Corrective-action workflows assign root-cause analysis, deadlines and closure evidence

Participants can test renewable energy plans against climate hazards and supply disruptions.

  • Climate hazard screening considers heat, flood, drought, wind and wildfire exposure
  • Asset vulnerability assessment links hazards with equipment sensitivity and service consequences
  • Resilience measures compare redundancy, hardening, islanding, spares and emergency generation
  • Resource variability scenarios test drought, low-wind and low-irradiation planning assumptions
  • Supply-chain risk mapping identifies critical components, sole suppliers and lead times
  • Business continuity requirements define critical loads, autonomy hours and restoration priorities

Participants can prepare decision-ready communications for technical, financial and public stakeholders.

  • Decision papers state recommendation, alternatives, assumptions, risks and approval required
  • Cost-benefit narratives distinguish financial returns from public, social and environmental value
  • Scenario visualisations communicate demand, supply, emissions and investment trade-offs clearly
  • Stakeholder messages adapted for boards, regulators, communities, lenders and operations teams
  • Objection handling addresses reliability, affordability, land use and technology concerns
  • Evidence packs maintain traceable sources, calculations, model versions and approvals

Participants can build, review and present a complete renewable energy plan for a defined energy system.

  • Planning brief defines system boundary, baseline, objectives, constraints and decision criteria
  • Demand forecast and resource evidence support quantified supply portfolio assumptions
  • Technology portfolio balances energy yield, reliability, grid limits and implementation feasibility
  • Financial case presents LCOE, cash flows, sensitivities and financing approach
  • Delivery roadmap integrates permits, procurement, safeguards, risks and governance controls
  • Peer review tests evidence quality, coherence, omissions and decision-readiness
  • Executive presentation defends recommendations, trade-offs, investment needs and success indicators

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Renewable energy planning charter template
  2. Energy baseline and demand forecast model
  3. Renewable resource and technology screening matrix
  4. Supply portfolio and storage sizing model
  5. Renewable investment appraisal workbook
  6. Implementation roadmap and performance dashboard

Who should attend

  • Energy Managers — translate energy data and targets into funded renewable supply plans
  • Utility Planners — assess generation portfolios, network constraints and system reliability
  • Sustainability Managers — connect decarbonisation commitments with practical energy investments
  • Infrastructure Project Managers — prepare renewable projects for procurement, approvals and delivery
  • Government Energy Officers — develop municipal, regional or national renewable energy programmes
  • Industrial Facilities Managers — evaluate on-site generation, storage and clean power procurement

Skills and tools covered

Energy demand forecastingRenewable resource assessmentPortfolio optimisationEnergy investment appraisalGrid integration planningTransition roadmap design

Tools and standards

ISO 50001, GHG Protocol, Integrated Resource Planning, Levelised Cost of Energy

How the course runs

Training methodology

The course uses short instructor briefings to introduce planning methods, followed by guided case analysis, group calculations, decision simulations and application planning. Participants work with representative utility, municipal, industrial and commercial energy data, including load profiles, resource estimates, tariffs and project costs. Teams compare supply options, test scenarios and defend planning choices against technical, financial and stakeholder constraints. Individual application planning helps participants adapt the methods, templates and decision criteria to their own energy portfolio.

Requirements and prerequisites

Participants should have basic familiarity with energy bills, electricity consumption, energy projects or sustainability reporting. Experience in facilities management, utility operations, engineering, public policy, finance or environmental management is useful. Participants should be comfortable interpreting simple charts, spreadsheet calculations and project cost information. The course does not require an engineering degree, advanced power-system modelling, programming, prior renewable project development experience or specialist software licences. Technical concepts are introduced before they are used in planning and appraisal work.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants need basic familiarity with energy use, utility bills, energy projects or sustainability work. Advanced engineering, power-system modelling and finance qualifications are not required.

A laptop with spreadsheet software is useful for working with planning models and case data. Participants may also bring non-confidential energy bills, load data, targets or project concepts from their workplace.

It suits energy, sustainability, utility, infrastructure, facilities and public-sector professionals who influence energy investment decisions. It is designed for people moving from targets and individual projects toward structured energy planning.

Technology courses usually focus on equipment design, engineering specifications or installation methods. This course focuses on selecting and combining technologies within a demand, grid, financial, regulatory and delivery plan.

Participants can use the templates to assess a site, municipal area, utility service territory or corporate portfolio. The resulting approach supports investment papers, procurement planning, decarbonisation roadmaps and renewable project prioritisation.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. Early modules establish the baseline, demand and resource evidence; later modules address grid, finance, delivery and a final planning capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.