A Study on Integration Opportunities of Renewable Energy Sources to District Cooling Systems

This study conducts a techno-economic evaluation of four scenarios that combine renewable energy technologies with a District Cooling Systems (DCS) to explore potential energy and cost savings. First, the cooling load and electricity consumption of buildings connected to the DCS were simulated using eQUEST. A benchmark scenario was then established using a self-developed Genetic Algorithm optimization code in MATLAB. The study further examines the effects of varying key parameters related to a Thermal Energy Storage (TES) tank, a Photovoltaic (PV) system, and a Biomass fired Combined Heat and Power (CHP) plant with an Absorption Chiller (ABC). This analysis was conducted using a combination of Helioscope software and mathematical modelling. Finally, the four scenarios were compared in terms of energy use, carbon emissions, and economic viability. Key findings indicate that incorporating a TES tank enables load shifting, resulting in a 12.64% increase in Net Present Value (NPV). The integration of PV systems within the district leads to a 4.5% reduction in overall energy consumption and a 4.47% decrease in annual carbon emissions. Implementing a 1 MWe Biomass fired CHP plant with an ABC achieves 25.9% energy savings and an 11.85% reduction in carbon emissions.

Authors

Institutions

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-22
DOI
https://doi.org/10.1051/e3sconf/202568104001/pdf
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Integration Opportunities of Renewable Energy Sources to District Cooling Systems

Md Raisul Islam, Russell Khoo Wei En
Springer Link (Chiba Institute of Technology)
Integrated Energy Systems Optimization
article

A Study on Integration Opportunities of Renewable Energy Sources to District Cooling Systems

Md Raisul Islam, Russell Khoo Wei En
article en

Abstract

This study conducts a techno-economic evaluation of four scenarios that combine renewable energy technologies with a District Cooling Systems (DCS) to explore potential energy and cost savings. First, the cooling load and electricity consumption of buildings connected to the DCS were simulated using eQUEST. A benchmark scenario was then established using a self-developed Genetic Algorithm optimization code in MATLAB. The study further examines the effects of varying key parameters related to a Thermal Energy Storage (TES) tank, a Photovoltaic (PV) system, and a Biomass fired Combined Heat and Power (CHP) plant with an Absorption Chiller (ABC). This analysis was conducted using a combination of Helioscope software and mathematical modelling. Finally, the four scenarios were compared in terms of energy use, carbon emissions, and economic viability. Key findings indicate that incorporating a TES tank enables load shifting, resulting in a 12.64% increase in Net Present Value (NPV). The integration of PV systems within the district leads to a 4.5% reduction in overall energy consumption and a 4.47% decrease in annual carbon emissions. Implementing a 1 MWe Biomass fired CHP plant with an ABC achieves 25.9% energy savings and an 11.85% reduction in carbon emissions.

Springer Link (Chiba Institute of Technology)
National University of Singapore (SG)
Ministry of Education - Singapore
Affordable and clean energy
Openalex Percentile: Top 42%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.