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Journal : Advance Sustainable Science, Engineering and Technology (ASSET)

Synthesis of Silica Gel From Rice Husk Ash for Sustainable Air Conditioning Requirements Syahbardia; Berkah Fajar Tamtomo Kiono; Sonny Handojo Winoto; Mohamad Said Kartono Tony Suryo; Dedi Lazuardi
Advance Sustainable Science Engineering and Technology Vol. 7 No. 4 (2025): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i4.1944

Abstract

An increase in air conditioning demand, driven by global warming and the need for comfort, highlights the importance of energy-efficient systems like desiccant cooling. This research explores using rice husk ash (RHA), an agricultural waste product from Indonesia, to synthesize silica gel for these systems. The study involved synthesizing silica gel from RHA through chemical processes and comparing its sorption capacity to commercial silica gel. Two synthesis methods were tested: a direct reaction of water glass with acid compounds and an impregnation process on honeycomb walls. The results indicate that the direct reaction method produces a silica gel with better pore performance. Ultimately, the study found that RHA from West Java, Indonesia, is a viable raw material for desiccant air conditioning, although its sorption capacity is slightly lower than that of commercial silica gel. This offers a valuable use for agricultural waste.
Optimization of Off-Grid Solar Lighting Systems Using OEMOF Integrated with IoT Field Data — Case Study: Bukit Kunci, Indonesia Herraprastanti, Eva Hertnacahyani; Kiono, Berkah Fajar Tamtomo; Haryanto, Ismoyo; Muchammad, Muchammad; Korai, Muhammad Safar
Advance Sustainable Science Engineering and Technology Vol. 8 No. 1 (2026): November - January
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i1.2672

Abstract

The growing need for efficient night lighting in natural tourist destinations highlights the importance of reliable and sustainable energy solutions. This study analyzes the optimization of solar-based lighting at Bukit Kunci, Indonesia, using the Open Energy Modelling Framework (OEMOF) combined with real-time monitoring via the IoT ThingSpeak platform. Photovoltaic (PV) panel data recorded at 15-second intervals during February–July 2025, yielding 532,520 records, were cleaned and aggregated as input to model the interaction of PV, batteries, LED lights, inverters, and backup generators, to minimize lifecycle cost and energy loss. Results indicate that the current PV capacity (0.4 kWp) supplies less than 50% of lighting demand, with a high levelized cost of energy (≈9.2 USD/kWh) and low reliability (self-sufficiency 3–22%). Optimization through capacity expansion (≈224 modules, ≈1.25 kWh storage) eliminated load loss probability and reduced LCOE to ≈0.05 USD/kWh. This approach demonstrates OEMOF’s potential to enhance system efficiency, ensure reliable night lighting, and support eco-tourism while offering replicability for rural destinations.