Recent Projects

Client: AI Data Center

The explosion of large language model (LLM)–based artificial intelligence has created an unprecedented surge in the demand for compute infrastructure, leading to the rapid development of giga-watt-scale AI data centers. As part of IWE’s ongoing assignment, sustainability has been established as a foundational pillar of design—ensuring that the environmental footprint of these facilities remains as low as possible even as their computational footprint grows exponentially.

The following sustainability design principles guide all design and procurement decisions:

1. Minimize the carbon footprint of electricity generation used to power the data center

Client: AI Data Center

The optimal location of the AI data center is identified using a rigorous, multicriteria, systems-engineering methodology. The primary selection criterion is the delivered cost of electricity, evaluated on a lifecycle basis and incorporating the cost and availability of wind and solar generation, battery energy storage systems (BESS), transmission access, and carbon credits required to offset residual grid-supplied power.

Beyond power economics, the methodology evaluates a comprehensive set of technical, operational, and risk parameters. These include digital connectivity (proximity to high-capacity fiber routes, latency, distance to cable landing stations, and network redundancy); cooling feasibility, including water availability and suitability for advanced, water-efficient cooling technologies; and land availability and constraints, such as slope, geotechnical conditions, flood risk, and seismic exposure

Client: European Bank of Reconstruction and Development

Wind expert on this project. Roles involve wind zone identification, design and implementation of wind measurement campaign, and wind resource assessment.

Client: Asian Development Bank

At the request of the Ministry of New and Renewable Energy (MNRE) of India, the Asian Development Bank funded technical assistance project—TA-10317 REG: Accelerating Clean Energy Transition in Asia and the Pacific—is exploring repowering of wind projects in India. Repowering is replacement of older wind turbines generators (WTG) that are close to end of life with newer and higher efficiency WTGs, with the goal of generating more than two to three times the energy from the same high wind resource area. 

IWE is working on this project in Gujarat, Maharashtra and Karnataka.

Client: Asian Development Bank

Under the Technical Assistance program "Accelerating Clean Energy Transition in Asia and the Pacific," IWE is going to Armenia, Bangladesh, Cambodia, India, Sri Lanka, Turkmenistan and other countries in onshore and offshore wind development.

Deliverables

1. Workshop on onshore and offshore wind power
2. Repowering pilot in India in multiple states
3. Country specific wind energy development assessments, as required

Client: Asian Development Bank/Tetra Tech

Viability assessment for wind power in Armenia including wind energy zones, wind measurement, environmental and social due diligence, preliminary grid integration and capacity building.

Client: USAID/Tetra Tech

SINAR aims to accelerate sustainable energy deployments in Indonesia.  IWE is supporting this project in the areas of:

• Renewable energy development
• Grid integration of renewable energy

Client: USAID/Tetra Tech

The objective of MESA is to strengthen Moldova’s energy security by: (1) advancing physical and market integration of the Moldovan energy sector with Europe; (2) increasing renewable energy (RE) integration; and (3) increasing investment in energy efficiency and domestic power generation, particularly through increased adoption of RE technologies.  IWE is supporting MESA in renewable energy development and grid integration of renewable energy.

Client: USAID/Tetra Tech

USAID Bangladesh’s flagship clean energy project – BADGE – is working to improve energy security and resilience in Bangladesh by improving access to affordable, reliable, and sustainable energy systems, and promoting transparent and efficient energy markets. By supporting the deployment of advanced and clean energy systems, promotion of transparent and best-value procurement for energy, and increased participation in regional energy trade and cooperation—all overseen by high-performing energy institutions—the energy sector in Bangladesh will contribute to the sustainable development goals of achieving prosperity, well-being, and resilience of its citizens.

Client: USAID/Tetra Tech

IWE is providing assistance to the USAID Power Central Asia project in Central Asian countries of Kazakhstan, Kyrgyz Republic, Tajikistan, Uzbekistan, and Turkmenistan in the areas of: Grid integration of renewables, grid code interconnection guidelines for RE, RE Zones, RE roadmap, resource assessment of renewables, RE forecasting, Sizing of Reserves, Battery Energy Storage Systems, Smart grid, Demand response, Digitization, and training and capacity building.

Client: USAID/Tetra Tech

Second phase of SURE.  Leading the grid integration workstream.  Areas of involvement:  Grid integration of variable renewable energy, integrating forecasting into unit commitment decisions, Policy differentiation between solar and wind forecasting requirements, Market operation support (dispatch interval), Percent deviation or tolerance band, Impact of percent deviation on absolute deviation (at state or grid level), and Point of prediction (not plant but sub-station level or grid node).  Countries of interest: Colombia, Mexico, India, Philippines and Vietnam.

Client: Asian Development Bank, Government of Myanmar

The main objectives of the technical assistance are to:

1. Conduct a meso-scale wind resource survey for the country
2. Identify priority locations for setting up detailed wind measurement campaigns;
3. Evaluate different scenarios for on-grid wind energy development at progressively large scales;
4. Assess impact of increased wind-based generation on grid-level stability and power flow;
5. Review Myanmar's regulatory framework for the power sector, focusing on renewable energy power generation and system integration, and identify challenges and gaps to accommodate higher shares of wind power;
6. Estimate levelized costs of energy for utility-scale wind power developments.