Browsing by Autor "Andrew R. Martin"

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Biomass-based Brayton-Stirling-AGMD polygeneration for small-scale applications in rural areas
(Elsevier BV, 2024) Luis A. Choque Campero; Wujun Wang; Evelyn Cardozo; Andrew R. Martin
The lack of access to electricity and clean water still affects a substantial proportion of rural areas worldwide, in particular the global south. This paper presents a sustainable polygeneration system that can provide electricity, heat, and drinking water by using agricultural residues in remote rural areas. This polygeneration system consists of a solid biomass-fueled Brayton-Stirling combined cycle system, a boiler, and an air-gap membrane distillation unit. Four different system operation modes were designed to examine the most ideal configurations for maximizing power output, overall efficiency, and/or clean water production, considering a polygeneration system designed for a rural village with daily demands of 13450 kWh electricity and 7.5 m3 drinking water. A thermodynamic analysis are employed to analyze and compare these modes, each operating under steady state conditions. The highest electricity output, up to 160 kW, while the highest clean water is up to 0.7 m3/h. The fuel consumption can reach 0.9 kWh/kg of solid fuel and provide up to 0.0045 m3 of freshwater. In addition, nonlinear multi-objective optimization is used to meet the power demands of typical day in rural areas by varying the polygeneration operation modes and turbine inlet temperature.
Decentralized biomass-based Brayton-Stirling power cycle with an air gap membrane distiller for supplying electricity, heat and clean water in rural areas
(Elsevier BV, 2024) Luis A. Choque Campero; Wujun Wang; Evelyn Cardozo; Andrew R. Martin
Ensuring access to essential services, such as clean water and electricity, is a key challenge for achieving sustainable development goals in rural areas. This study proposes a novel Brayton-Stirling combined cycle-based cogeneration system for utilizing locally available biomass waste to generate both electricity and clean water. The system employs an externally fired gas turbine, a Stirling engine, and an air–gap membrane distiller. Four operation modes—parallel-powered, fully-fired, straightforward, and by-pass—were modeled for their efficiency and output. Four operation modes can be switched by two three-way valves. Sunflower husk, identified as the most effective biomass source, enabled the system to achieve up to 160 kW of electricity and 0.7 m3/h of freshwater. The electrical and exergy efficiencies of the system peaked in the parallel-power mode, offering a practical solution for enhancing rural sustainability. Moreover, the by-pass mode maximized water production, highlighting its effectiveness in addressing water scarcity along with energy generation. Through a case study, the cogeneration system has demonstrated its capability in satisfying both rural electricity and water demands throughout the day by controlling the combination of different operation modes and parameters. Therefore, it provides a promising solution for advancing rural electrification and water purification in rural areas.
Energy self-sufficiency and greenhouse gas emission reductions in Latin American dairy farms through massive implementation of biogas-based solutions
(Elsevier BV, 2022) J. Villarroel-Schneider; Lena Höglund-Isaksson; Brijesh Mainali; Jaime Martí-Herrero; Evelyn Cardozo; Anders Malmquist; Andrew R. Martin
Open-source model applied for techno-economic optimization of a hybrid solar PV biogas-based polygeneration plant: The case of a dairy farmers’ association in central Bolivia
(Elsevier BV, 2023) J. Villarroel-Schneider; Sergio Balderrama; Claudia Sanchez-Solis; Evelyn Cardozo; Anders Malmquist; Andrew R. Martin
Proper sizing of energy systems is a key aspect that allows avoiding overestimated installation costs or failures in operation and dispatch. However, most of the available sizing tools focus on systems dedicated only to electrical loads, omitting combined energy systems with simultaneous supply of various thermal demands. This study presents an adaptation of an existing open access techno-economic optimization model for broadening the design tool for small-scale energy systems supplying both, electrical and thermal needs. For this, a new typology of an energy system was proposed considering the use of biogas, solar energy and adding thermal components. This was followed by modifying the model framework, constraints equations and objective function, which is the net present cost of the system. Once the design tool was verified a model was constructed to analyse the feasibility of a polygeneration plant for an association of 30 small dairy farms. The developed model was able to optimize the sizing of the main system components for different proposed scenarios, encompassing supply of electricity, refrigeration, biogas for cooking and fertilizers. For the selected application it was found that the aggregated cost of producing electricity and heat ranges from 0.044 to 0.070 USD/kWh; the penetration of solar energy can reach up to 32%; while the annual potential savings of CO2 emissions of applying the solution ranges from 109 to 127 ton of CO2.
Techno-economic optimization model for polygeneration hybrid energy storage systems using biogas and batteries
(Elsevier BV, 2020) Moritz Wegener; J. Villarroel-Schneider; Anders Malmquist; A. Isalgué; Andrew R. Martin; Viktoria Martin
Techno-Economic Study of a Biogas-Based Polygeneration Plant for Small Dairy Farms in Central Bolivia
(Springer International Publishing, 2019) J. Villarroel-Schneider; Brijesh Mainali; Jaime Martí-Herrero; Anders Malmquist; Andrew R. Martin; Lucio Alejo