Optimal Renewable Energy Configuration in Smart Cities Considering Shortened Annual Simulation

14 Pages Posted: 15 Jul 2022

See all articles by Soichiro Ueda

Soichiro Ueda

University of the Ryukyus

Ashraf Mohamed Hemeida

Aswan University

Narayanan Krishna

affiliation not provided to SSRN

Srinvasarangan Rangarajan

Clemson University

Edward Randolph Collins

Clemson University

Alexey Mikhaylov

Financial University under the Government of the Russian Federation

Hiroshi Takahashi

affiliation not provided to SSRN

Tomonobu Senjyu

University of the Ryukyus - Graduate School of Engineering and Science

Abstract

In the world, the concentration of population in urban areas has led to the problem of increasing load on urban infrastructure and greenhouse gases. This paper presents the optimal operation and capacity planning of a smart city with renewable energy and combined cooling, heating and power system. In this study, clustering is applied to reduce the simulation time while maintaining the accuracy of the solution. Furthermore, the optimal capacity is examined by varying the price of renewable energy with the generation capacity. As a result, the simulation time is reduced from 4,960 [sec] to 2.66 [sec], and the error of the result is 0.4[%]. Compared to the case without renewable energy, the9 Electricity rate is reduced by 67.0[%] and the CO2 emission by 55.9[%]. To further reduce the CO2 emission, the price of renewable energy facilities needs to be reduced. In the last part of the paper, we vary the price of PV equipment and determine the PV equipment price that minimizes the operating cost and CO2 emissions to be less than 240 million yen. The simulations in this paper are performed using the optimization method Mixed integer linear programming (MILP) and the numerical analysis software MATLAB®.

Keywords: Smart city, Photovoltaic(PV) power, Wind power generation(WG), Storage Battery, clustering, Combined Cooling Heating and Power(CCHP)

Suggested Citation

Ueda, Soichiro and Hemeida, Ashraf Mohamed and Krishna, Narayanan and Rangarajan, Srinvasarangan and Collins, Edward Randolph and Mikhaylov, Alexey and Takahashi, Hiroshi and Senjyu, Tomonobu, Optimal Renewable Energy Configuration in Smart Cities Considering Shortened Annual Simulation. Available at SSRN: https://ssrn.com/abstract=4164019 or http://dx.doi.org/10.2139/ssrn.4164019

Soichiro Ueda (Contact Author)

University of the Ryukyus ( email )

Okinawa
Japan

Ashraf Mohamed Hemeida

Aswan University ( email )

Egypt, Aswan
Aswan, 81524
Egypt

Narayanan Krishna

affiliation not provided to SSRN ( email )

No Address Available

Srinvasarangan Rangarajan

Clemson University ( email )

101 Sikes Ave
Clemson, SC 29634
United States

Edward Randolph Collins

Clemson University ( email )

101 Sikes Ave
Clemson, SC 29634
United States

Alexey Mikhaylov

Financial University under the Government of the Russian Federation

Hiroshi Takahashi

affiliation not provided to SSRN ( email )

No Address Available

Tomonobu Senjyu

University of the Ryukyus - Graduate School of Engineering and Science ( email )

Okinawa
Japan

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