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Optimal planning and designing of microgrid systems with hybrid renewable energy technologies for sustainable environment in cities

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Abstract

Although hybrid wind-biomass-battery-solar energy systems have enormous potential to power future cities sustainably, there are still difficulties involved in their optimal planning and designing that prevent their widespread adoption. This article aims to develop an optimal sizing of microgrids by incorporating renewable energy (RE) technologies for improving cost efficiency and sustainability in urban areas. Diverse RE technologies such as photovoltaic (PV) systems, biomass, batteries, wind turbines, and converters are considered for system configuration to obtain this goal. Net present cost (NPC) is this study’s objective function for optimal sizing microgrid configuration. For demonstration, we assess the technical, economic factors, and atmospheric emissions of optimal hybrid renewable energy systems for Putrajaya City in Malaysia. The required solar radiation data, temperature, and wind speeds are collected from the NASA surface metrological database. From the quantitative analysis of simulations, the biomass-battery-based system has optimal economic outcomes compared to other systems with an NPC of around 1.07 M$, while the cost of energy (COE) is 0.118 $/kWh. Moreover, environmentally safe nitrogen oxide emissions, carbon monoxide, and carbon dioxide concentrations exist. The grid-tied RE technology boasts cost-effectiveness, with an NPC of 348,318 $ and a COE of 0.0112 $/kWh. This study aids decision-makers in formulating policies for integrating hybrid RE systems in urban areas, promoting sustainable energy generation.

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Funding

The current research is funded by Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) under grant number PGRS200322. The Center for Advanced Industrial Technology at UMPSA granted a postdoctoral research fellowship to Peddakapu Kurukuri.

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Peddakapu Kurukuri: conceiving and designing the study, collecting data, composing the manuscript, analyzing and/or interpreting the data, revising the manuscript, and approving the final version for publication.

Mohd Rusllim Mohamed: conceiving and designing the study, analyzing and/or interpreting the data, critically revising the manuscript for significant intellectual content, and approving the version of the manuscript to be published.

Pavan Harika Raavi: analyzing and/or interpreting data, critically revising the manuscript for important intellectual content, and approving the version of the manuscript for publication.

Yogendra Arya: drafting the manuscript, revising the manuscript, and approving the final version for publication.

Corresponding author

Correspondence to Mohd Rusllim Mohamed.

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Kurukuri, P., Mohamed, M.R., Raavi, P.H. et al. Optimal planning and designing of microgrid systems with hybrid renewable energy technologies for sustainable environment in cities. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33254-5

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