Mathematical Modeling of Solar Power Generation Systems with Cross-Flow Cooling Pipes Based on Fuzzy Inference Systems

Authors

  • Shazana DA Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur.
  • Askhaarina Aulia Tsalits Magister Agribisnis, Universitas Brawijaya Malang, Jawa Timur
  • Izza Anshory Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur.
  • M. Syahrul M Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur
  • Jamaaluddin Jamaaluddin Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur.
  • Darmansyah Darmansyah Teknik Elektro, Universitas Lancang Kuning, Pekanbaru, Sumatera Selatan

DOI:

https://doi.org/10.26418/elkha.v17i2.97228

Keywords:

Photovoltaic Thermal, Fuzzy Inference System, Cross Pipe Cooler, Solar Panel Efficiency, Renewable Energy.

Abstract

The utilization of solar energy in Indonesia remains relatively low despite its high potential in terms of solar irradiation and geographical advantage. One of the main challenges in photovoltaic (PV) systems, especially in tropical climates, is the decline in performance caused by high operating temperatures. Unlike previous studies that primarily focused on passive cooling methods or basic active cooling without intelligent control, this research introduces a cross-mounted water pipe cooling system integrated with a Fuzzy Inference System (FIS) for dynamic water flow regulation, enabling optimal temperature control and dual-output (electrical and thermal) efficiency. Experimental testing on two 100 Wp monocrystalline solar panels—one with cooling and one without—under identical conditions revealed that the cooled panel achieved an average maximum power of 85.2 W, compared to 43.6 W for the non-cooled panel, with efficiency improvements of up to 7.4% over the observation period. A linear regression model was developed to predict PV performance under varying temperature conditions, demonstrating a slower decline in efficiency and more stable power output in the cooled system. The proposed hybrid PV/T configuration effectively dissipates heat while simultaneously recovering thermal energy, thus enhancing total energy utilization. These results highlight the system’s capability to mitigate thermal degradation, extend module lifespan, and promote sustainable renewable energy adoption in tropical regions. The integration of intelligent control with thermal management presents a scalable and energy-efficient approach for future photovoltaic applications.

Author Biographies

Izza Anshory, Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur.

Seorang akademisi dan peneliti yang memiliki latar belakang pendidikan serta pengalaman organisasi yang kaya. Beliau memulai perjalanan pendidikan Sarjan (S1) di Universitas Brawijaya pada tahun 2000 dnegan menyandang gelar (ST). kemudian beliau melanjutkan jenjang pendidikan Magister (S2) pada tahun 2006 di Institut Teknologi Sepuluh Nopember dengan menyandang gelah (MT). tidak berhenti disitu sembari menjadi dosen beliau juga melanjutkan pendidikannya di jenjang Doktor (S3) pada tahun 2021 di Institut Teknologi Sepuluh Nopember dengan menyandang gelar (Dr). Konsentrasi keilmuan beliau yaitu mengenai kendaraan listrik baik secara analisa maupun efisiensi penggunaan kendaraan listrik

Jamaaluddin Jamaaluddin, Teknik Elektro, Universitas Muhammadiyah Sidoarjo, Jawa Timur.

Dr.Ir. Jamaaluddin, MM, lahir di Surabaya, Indonesia, pada tanggal 17 Oktober 1970, lulus dengan gelar B.S. di bidang Teknik Elektro

Darmansyah Darmansyah, Teknik Elektro, Universitas Lancang Kuning, Pekanbaru, Sumatera Selatan

Dr. Darmansyah, ST., MT Senior Lecturer. Univ.Lancang Kuning. Jul 2007 - Saat ini 18 tahun 4 tahun

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2025-10-20

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Vol. 17 No.2 October 2025

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Vol. 17 No.2 October 2025

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