ABT Solutions for Renewable Energy Integration

A Comprehensive HVDC Power Electronics System in Simulink: A Milestone in Innovation This project presents an advanced High Voltage Direct Current (HVDC) system modeled in Simulink, integrating diverse power electronics components and renewable energy sources into a unified setup. This unique system is a pioneering effort in simulation and modeling, designed to highlight cutting-edge energy transmission and integration techniques. Below is a detailed breakdown of the system and its components. 1. HVDC System Overview Voltage and Distance: The system operates at 230 kV DC and spans a transmission distance of 100 km, enabling high-efficiency long-distance power transfer. Power Transmission: It is designed to transfer a total of 50 MW of power between two Voltage Source Converter (VSC) stations. Grid Integration: The system is connected to an AC grid operating at 220 kV, 50 Hz, with a transformer rated at 220/110 kV to match the transmission voltage. 2. Photovoltaic (PV) Arrays Capacity: The system integrates two 1 MW PV arrays, contributing clean solar energy to the grid. Control Strategy: Each PV array is equipped with Maximum Power Point Tracking (MPPT) controllers to optimize energy harvesting under varying solar irradiance conditions. 3. Wind Energy Integration Wind Turbine: A wind turbine rated at 10 kW is included to supplement the system’s renewable energy input. Boost Converter with MPPT: A boost converter is employed alongside MPPT algorithms to ensure maximum power extraction from the wind turbine under fluctuating wind speeds. 4. Energy Storage System Z-Source Inverter: The system features a Z-source inverter integrated with storage elements, providing robust and reliable energy storage and transfer. Boost Inverter: A boost inverter is included to enhance the storage system’s performance and support the grid during peak demand or renewable energy fluctuations. 5. Key Features and Advantages Modularity: Each component is modularly designed, enabling easy expansion and testing of additional renewable sources or advanced control strategies. Efficiency: The combination of HVDC, advanced inverters, and MPPT controllers maximizes overall system efficiency. Innovation: This is the first published system of its kind to integrate such diverse components, making it a benchmark in power electronics simulation. Conclusion This comprehensive HVDC power electronics system in Simulink serves as a cutting-edge example of modern energy systems. Its ability to integrate solar, wind, and storage solutions into a unified, high-efficiency setup positions it as a vital step toward sustainable and reliable energy solutions. 💡 If you are interested in contributing to scientific publications, sharing insights, or exploring practical applications of this system, feel free to reach out directly. Let’s work together to advance the field and achieve impactful results.

Renewable Energy Electrical Design – Solar, BESS & Generators Working Together The energy transition is about integration not one technology replacing another, but a balanced design where solar, storage, and backup generation work together to deliver reliable, efficient, and sustainable power. What? A hybrid renewable system combines: Solar PV for clean, low-cost generation Battery Energy Storage (BESS) for backup, peak shaving, and grid support Generators (Diesel/Gas) for redundancy and extended autonomy Why? Ensure reliability in areas with weak or unstable grids Reduce fuel consumption and operational costs Meet sustainability & decarbonization targets Enable grid independence and resiliency Where? Remote industrial sites (mines, oil & gas, utilities) Islanded microgrids & off-grid communities Commercial & residential hybrid systems Data centers, hospitals, & mission-critical facilities How? Load profiling & demand forecasting (24h/annual) PV sizing using simulation tools (PVsyst, Helioscope) BESS design based on autonomy, cycling, DoD, and efficiency Generator sizing for spinning reserve and black start capability Integration studies using ETAP, DIgSILENT, HOMER, or PSCAD Compliance with IEEE 1547, IEC 62116, IEC 62933, and NFPA 70 Which Considerations? PCC grid code compliance (voltage, frequency, fault ride-through) Protection & relay coordination (multi-source systems) Harmonics & power quality (inverters + gensets interaction) Control strategy (grid-following vs grid-forming inverters) Battery technology choice (Li-ion vs LFP vs Flow batteries) Generator fuel optimization & synchronization with inverters Common Issues: Solar intermittency leading to instability without storage Poorly sized BESS resulting in short backup times Reverse power flow & islanding protection challenges High harmonics or transients during mode transfer (genset ↔ inverter) Generator underloading & wet stacking when solar dominates Solutions: Hybrid controllers (EMS) for real-time optimization Smart inverters with low THDi and advanced grid support functions Active harmonic filters to stabilize PQ at PCC Oversizing or adding spinning reserve in gensets Proper BESS thermal management & monitoring systems Step-by-step system studies (Load flow, Short circuit, Transients, Harmonics) before commissioning Electrical design for hybrid renewable systems is about balance ensuring that solar delivers savings, batteries provide resilience, and generators guarantee reliability. When designed right, the system is clean, efficient, and always available. #RenewableEnergy #Solar #BESS #Generators #Microgrid #HybridPower #ElectricalDesign #EnergyTransition

Harnessing Renewable Energy for Urban Sustainability 🌇🔋💡 🚀 With the rapid growth of global populations and technological advancements, urban areas are grappling with skyrocketing energy demands. A pioneering study by Shanghai Jiao Tong University proposes a distributed renewable energy system integrated with energy storage, tailored for urban residential buildings. Here’s the breakdown: Key Highlights: 1️⃣ Optimized Design: • Solar PV: 5kW ☀️ • Battery Storage: 1.45kWh 🔋 • Upper Water Tank: 73.86m³ 💧 2️⃣ Innovative Strategies: • Pump startup power threshold ensures efficient energy distribution between water pumps and batteries. • Nighttime off-peak power storage reduces grid dependency while cutting costs. 3️⃣ Economic & Environmental Benefits: • Villas: 9.01-year ROI | Apartments: 7.06-year ROI 💰 • Carbon emissions reduced by 3,717.8 kg/year 🌍 • Energy savings: 4,736.1 kWh/year ⚡ 4️⃣ Advanced Multi-Energy System: • Wind, solar, batteries, and pumped storage synergy reduces grid dependency by 35.7%, increases self-sufficiency by 62.78%, and accelerates ROI to just 4.48 years! 🌬️🌞 Why This Matters: This study provides a scalable and actionable framework for renewable energy adoption in urban environments. The optimized strategies directly address modern challenges like grid pressure, peak-hour demand, and carbon footprint reduction. 🔧 Leveraging tools like MATLAB, the team even developed a user-friendly interface to empower homeowners with smarter energy management. Let’s reimagine urban living—cleaner, greener, and smarter! 🌿🌆 #RenewableEnergy #UrbanSustainability #Innovation #ShanghaiJiaoTongUniversity

Step-by-Step Business Model for Deploying Renewables in the Energy Mix Integrating renewable energy into the energy mix requires a structured and actionable business model. Below is a detailed, step-by-step approach to successfully deploy renewables, ensuring that organizations can navigate the complexities of the energy transition effectively. Step 1: Conduct a Comprehensive Energy Assessment Actions: Evaluate Current Energy Usage: Analyze existing energy consumption patterns, costs, and sources. Identify Renewable Resources: Assess local renewable energy sources (solar, wind, hydro, etc.) based on geographical and climatic conditions. Demand Forecasting: Estimate future energy demands by considering population growth, industrial needs, and technological developments. Outcome: A detailed report outlining current energy usage, renewable resource availability, and future demand projections. Step 2: Define Clear Objectives and Goals Actions: Set SMART Goals: Establish Specific, Measurable, Achievable, Relevant, and Time-bound objectives for renewable energy integration. Align with Regulatory Frameworks: Ensure that goals are in accordance with local and international energy policies, such as the Paris Agreement. Outcome: A strategic plan that outlines clear renewable energy targets aligned with broader sustainability goals. Step 3: Develop a Financial Strategy Actions: Identify Funding Sources: Explore government grants, subsidies, and private investments to support renewable projects. Create a Financial Model: Develop a comprehensive financial model that considers capital expenditures (CAPEX), operational expenditures (OPEX), and expected returns on investment (ROI). Risk Assessment: Conduct a financial risk analysis to anticipate challenges and develop mitigation strategies. Outcome: A robust financial strategy that outlines funding mechanisms and expected financial performance. Step 4: Engage Stakeholders and Build Partnerships Actions: Identify Key Stakeholders: Engage with government agencies, local communities, non-profits, and industry partners. Foster Collaboration: Establish partnerships that can provide expertise, funding, or technology support. Conduct Community Outreach: Organize forums and workshops to gather input and build public support for renewable energy projects. Outcome: A network of stakeholders committed to supporting and advancing renewable energy initiatives. Step 5: Design and Implement Renewable Energy Projects Actions: Project Planning: Develop detailed project plans, including timelines, resource allocation, and procurement strategies. Technology Selection: Choose appropriate renewable technologies based on feasibility studies and cost analyses. Pilot Programs: Start with pilot projects to test technologies and approaches, allowing for adjustments before large-scale deployment. Outcome: A set of executed projects that serve as a foundation for broader renewable energy integration. #Renewablesenergy

How can Nigerian utilities unlock more reliable electricity using distributed renewables? Over the past year, we’ve been working with distribution companies to test a practical solution, and we’re sharing the tools to make it happen. Reliable electricity remains one of the biggest challenges for many distribution networks in Nigeria. Renewable embedded generation (REG) offers a practical, near-term solution to strengthen grid reliability and improve service to customers, while integrating distributed renewable energy. Through the UK PACT (Partnering for Accelerated Climate Transitions)-funded REG project, our team at RMI has been working closely with Nigerian distribution companies, regulators, and developers to advance this model. We are currently wrapping up feasibility studies at four pilot locations (in Ibadan Electricity Distribution Company (IBEDC) and Port Harcourt Electricity Distribution Company networks), analyzing real site data to help move REG projects closer to implementation. Alongside this work, we are developing practical tools, guidance, and templates to support utilities and developers as they move from concept to implementation and scale. These resources cover topics such as project selection and development, regulatory framework, implementation and interconnection guidance, and pathways towards transaction and financial close. To make these resources easily accessible, we’ve consolidated them in RMI’s Utility-Enabled Distributed Energy Resources (DER) Resource Hub, and we’ll continue updating the platform as new materials become available. 🔗 Explore the hub here: https://lnkd.in/gDMk_JAD More to come as we continue advancing renewable embedded generation in Nigeria. Wayne Omonuwa Suleiman Babamanu Habiba Ahut Daggash, Ph.D. Olatunde Okeowo Ridwan Zubair Alberto Rodríguez Gómez Nigerian Electricity Regulatory Commission (NERC) BEDC Electricity Plc Jos Electricity Distribution Plc

McKinsey just published a landmark piece on industrial heat electrification in Europe — and the conclusion is clear: the business case for Thermal Energy Storage is no longer a future promise. It's here. 🔋 The economics have arrived McKinsey modeled IRRs for an eight-hour TES system across six European countries and found returns exceeding 15% in most markets by 2030 — within or above typical industrial hurdle rates. Spain projects ~20% IRR even without grid fee discounts or trading upside. Renewable integration is pushing electricity price volatility up 60–170% in high-RES markets. TES systems are purpose-built to capture that spread. Rondo's project at Heineken's Lisbon brewery — the largest heat battery in the global beverage industry — is live proof. ⚡ Beyond price arbitrage Heat batteries are a fundamentally new class of controllable load. Unlike batteries that respond to price signals, Rondo's systems can be directly dispatched by grid operators to balance generation, absorb curtailed renewables, and increase reliability. This is grid infrastructure. In Europe, where grid connection queues stretch five years or more and high tariffs erode electrification economics, this distinction is critical. Industrial customers who deploy Rondo don't just join the grid — they strengthen it. 🤝 A trusted partner, not just a technology provider McKinsey identifies three barriers to scaling: capital exposure, system complexity, and capability gaps in energy trading and grid navigation. Rondo's Heat-as-a-Service model solves all three — bundling financing, integration, market participation, and risk management into a single contracted heat price per MWh. But HaaS is more than a financial structure. It's a long-term partnership. We take on performance risk so customers can focus on their core business, confident their decarbonisation pathway is in experienced hands. They don't need another vendor. They need a partner with the track record and commitment to see it through. 🏛️ Policy must keep pace Grid fee structures, connection queues, and ancillary services markets must evolve to recognise dispatchable industrial load as the grid asset it is. Faster approvals, tariff reform, and infrastructure investment that treats electrified industry as a strategic priority are essential. Europe's energy sovereignty requires demand-side infrastructure that makes renewables reliable and dispatchable at scale. The technology is ready. The business case is proven. Now we need the policy frameworks to match. Rondo is ready. #ThermalEnergyStorage #HeatElectrification #IndustrialDecarbonization #HeatAsAService #GridFlexibility #EnergySovereignty #EnergyTransition #RondoEnergy #DispatchableLoad

Publicly Accessible Energy Storage Systems (ESS) Simulation Price-taker models are suitable for small-scale ESS as their capacity does not influence market prices or system dispatch. This post highlights DOE price-taker valuation tools. 🟦 1) QuESt  QuESt is a free, open-source Python application suite for energy storage simulation and analysis, developed at Sandia National Laboratories. It includes three interconnected applications:  1- QuESt Data Manager,  2-QuESt Valuation, and  3-QuESt BTM, Eligible technologies include BESS (Li-ion, advanced lead-acid, vanadium redox), flywheels, and PV, using a shared model for different BESS and flywheel types based on their parameters. 🟦 2) Renewable Energy Integration and Optimization (REoptTM)  The REopt™ platform, developed by the National Renewable Energy Laboratory (NREL), optimizes energy systems for various applications, recommending the best mix of renewable energy, conventional generation, and energy storage to achieve cost savings, resilience, and performance goals. Eligible technologies include: PV, wind, CHP, electric and thermal energy storage, absorption chillers, and existing heating and cooling systems. 🟦 3) Distributed Energy Resources Customer Adoption Model (DER-CAM)  DER-CAM is a decision support tool from Lawrence Berkeley National Laboratory (LBNL) designed to optimize DER investments for buildings and multienergy microgrids. Eligible technologies include conventional generators, CHP units, wind and solar PV, solar thermal, batteries, electric vehicles, thermal storage, heat pumps, and central heating and cooling systems. 🟦 4) System Advisor Model (SAM) SAM is a techno-economic computer model that evaluates the performance and financial viability of renewable energy projects. It includes performance models for various systems such as PV (with optional battery storage), concentrating solar power, solar water heating, wind, geothermal, and biomass, and a generic model for comparison with conventional systems. Eligible technology types focus on electrochemical ESS, supporting lead-acid, Li-ion, vanadium redox flow, and all iron flow batteries. Users can also model custom battery types by specifying their voltage, current, and capacity. SAM offers detailed modelling of battery cells, power converters, and factors like degradation, voltage variation, and thermal properties. 🟦 5) Energy Storage Evaluation Tool (ESETTM) ESETTM is a suite of modules developed at PNNL that allows utilities, regulators, and researchers to model and evaluate various ESSs. ESETTM features a modular design for ease of use and currently includes five modules for different ESS types, such as BESSs, pumped-storage hydropower, hydrogen energy storage, storage-enabled microgrids, and virtual batteries. Some applications also include distributed generators and photovoltaics (PV). Source: see post image. Link to the modellers: in the comment section This post is for educational purposes only.

Optimizing Energy Networks for a Sustainable Future My recent advancement in energy systems modeling—a high-performance Energy Network Optimization Model, built in #Julia using #JuMP and #HiGHS. This model integrates fossil generation, renewable sources, and battery storage to provide cost-effective, environmentally compliant, and highly reliable energy dispatch strategies. Key Highlights: High-Performance Optimization with Julia & JuMP: - Implemented using JuMP, a powerful algebraic modeling language for optimization. - Solved using HiGHS, an industry-leading solver known for its speed and efficiency in handling large-scale linear programming problems. - Julia’s computational speed and efficient memory handling make this model scalable for real-time market applications. Cost Minimization & Operational Efficiency: - The objective function minimizes total operational costs, balancing generation, start-up, and battery operation expenses for optimal market performance. Renewable Energy Integration & Curtailment Management: - The model maximizes clean energy penetration while effectively managing renewable curtailment to mitigate intermittency. Advanced Battery Storage Dynamics: - Explicit constraints model charging, discharging, and storage efficiency losses, enhancing grid flexibility. Emission Compliance: - Enforces emission cap constraints, ensuring regulatory compliance and supporting sustainability targets. Reliability Through Operational Constraints: - Incorporates demand balance, unit commitment, ramp rate limits, and spinning reserve requirements to maintain grid stability and resilience against unexpected demand fluctuations. Market Advantages: The model leverages mixed integer programming (MIP) for global optimality, ensuring transparent, scalable, and real-time deployable decision-making. Julia + JuMP dramatically improves computational efficiency, making it ideal for real-world energy markets, utility operators, and policymakers seeking cost savings and carbon reductions. Full project access, including source code, CI/CD pipelines, and detailed documentation, is available on my GitHub upon request: https://lnkd.in/eDC7VVHS Looking forward to engaging with industry experts on how this model can be adapted, extended, and applied in real-world energy systems. Let’s push the boundaries of smart, sustainable energy optimization! #EnergyOptimization #JuliaLang #JuMP #CleanEnergy #Sustainability #LinearProgramming #EnergyMarkets #SmartGrid #Innovation

System integration: Working towards a renewable energy supply.   The energy transition isn’t just about generating more electricity from renewables — it’s about using it smartly as the supply and demand of electricity has a delicate balance. When you switch on a device, the power production has to be increased somewhere. In the past, conventional power plants were ramped up and down to match the electricity demand during the day. Unfortunately, we cannot control the wind and sunshine. Therefore, the balance of supply and demand becomes a challenge with moments of surplus and shortage, while more renewable capacity is being added to the energy system. However, it is a challenge we can overcome.   System integration is the answer — and RWE is pioneering this approach with our OranjeWind project, currently under construction with TotalEnergies. By linking technologies, we create opportunities for new sectors to use energy from offshore wind, increasing flexibility and reducing curtailment.    A few system integration concepts we’re bringing into reality at OranjeWind: ▪️Energy storage: Subsea pumped hydro and battery storage, plus an onshore inertia battery, will help stabilise the grid and compensate for peaks and troughs in electricity generation. ▪️Power-to-X: TotalEnergies is partnering with Air Liquide to produce 45,000 tons of green hydrogen per year, using electricity from OranjeWind to power the electrolysers. ▪️Sector coupling: Onshore, we are investing in EV charging, electrolysers, and electric boilers — making it possible for the industrial and transport sectors to use clean power in their operations.   These kinds of measures not only maximise the use of renewable energy: they also reduce dependence on fossil energy sources and strengthen the security of our energy supply. But single projects aren’t enough. To create sufficient investment and supportive regulations for system integration infrastructure, we need cooperation — between energy companies, industry, and governments. Making the right choices now will set us up for a more stable, sustainable, and resilient energy system tomorrow.

A Practical Solution to Meet Data Center Energy Demand: Rather than expanding generation and transmission capacity to meet the rapidly growing energy demand of data centers, I propose here a more efficient and resource-saving alternative. This approach involves optimizing the design of a Solar PV-Battery Energy Storage (BES) system to supply 80-85% of the daily energy requirements of a data center, while limiting grid dependency to a maximum of 20%. This hybrid system significantly reduces the need for large-scale infrastructure upgrades. Here’s an illustrative example I designed for a 1 GW data center in Saudi Arabia: - Solar PV System: 3.9 GWdc / 3.52 GWac - Battery Energy Storage (BES): 3 GWac / 5.6 GWh - Transmission Line Capacity: 200 MW (20% of the load) The system configuration, as shown in figure, is an AC-coupled system. The PV-BES management system is programmed to ensure that the load power drawn from the grid never exceeds the transmission line capacity of 200 MW. To validate this design, I conducted a full-year simulation with a 5-minute time step for a specific location in Saudi Arabia. Results demonstrated that the State of Charge (SOC) of the battery system never dropped below 15%. The system was designed with the PV and BES capacities approximately three times the load to provide additional power and energy redundancy, achieving an optimal balance between reliability and cost-effectiveness. This optimized hybrid system represents a sustainable and scalable solution to meet the increasing energy demands of data centers while minimizing grid strain and infrastructure costs. Another potential solution involves deploying Battery Energy Storage (BES) systems and data centers adjacent to existing utility-scale PV plants. This approach leverages already-developed infrastructure, optimizing the utilization of renewable energy while minimizing additional land use and transmission requirements.