Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/6984
Title: Developing an environmental decision making model for optimal solar and wind energy utilization
Authors: Ojwang, B. O.
Musau, Peter M.
Nyete, A. M.
Wekesa, C. W.
Keywords: EEDMM
Environmental Impacts
PowerSizing Model
ReCiPe Model
Solar and Wind Energy
Issue Date: 2020
Publisher: IEEE
Citation: 2020 IEEE PES/IAS PowerAfrica
Abstract: Energy plays a prominent role in human society. As a result of technological and industrial development, the demand for energy is rapidly increasing. Existing power sources that are mainly non-renewables are leaving an unacceptable legacy of waste and pollution apart from diminishing stock of fuels. This problem has led to emergence of Solar and Wind Energy Technology which is considered to be free and clean to the environment. As a matter of fact, this statement is false and therefore, it is important to investigate the environmental impacts of these two sources of energy for optimal utilization. A model is developed to aid in decision making on social, health, ecosystem and emission impacts. This model uses Modified ReCiPe and PowerSizing models on MATLAB. The simulated results show that solar PV causes Ozone depletion by 30.15% while wind reduces it by 81.86%. The user friendly decisions are made from the EEDMM chart.
Description: DOI: 10.1109/PowerAfrica49420.2020.9219850
URI: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9219850
http://repository.seku.ac.ke/handle/123456789/6984
ISBN: 978-1-7281-6746-6
Appears in Collections:School of Engineering and Technology (CS)

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