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Rising pollution, climate change and the depletion of fossil fuels are leading many countries to focus on renewable-based energy conversion systems. In particular, recently introduced energy policies are giving high priority to increasing the use of renewable energy sources, the improvement of energy systems’ security, the minimization of greenhouse gas effect, and social and economic cohesion. Renewable energies’ availability varies during the day and the seasons and so their use must be accurately predicted in conjunction with the management strategies based on load shifting and energy storage. Thus, in order to reduce the criticalities of this uncertainty, the exploitation of more flexible and stable renewable energies, such as the geothermal one, is necessary. Geothermal energy is an abundant renewable source with significant potential in direct use applications, such as in district heating systems, in indirect use ones to produce electricity, and in cogeneration and polygeneration systems for the combined production of power, heating, and cooling energy. This Special Issue includes geothermal energy utilization and the technologies used for its exploitation considering both the direct and indirect use applications.
geothermal power production --- abandoned oil reservoirs --- in situ combustion --- organic Rankine cycle (ORC) --- plunger pump --- centrifugal pump --- pressure drop --- temperature utilization rate --- system generating efficiency --- carbonate geothermal reservoirs --- sustainable geothermal energy exploitation --- southern Italy --- numerical simulation --- dual-loop ORC --- mixture working fluids --- entropy generation --- entransy loss --- exergy loss --- Ground source heat pump --- oval cross-section --- groundwater --- borehole heat exchanger --- CFD --- Sandtank --- granite --- physical characteristics --- cyclic --- thermal treatment --- water cooling --- hybrid renewable polygeneration plant --- micro organic Rankine cycle --- evacuated solar thermal collectors --- photovoltaic panels --- plastic heat exchanger --- Organic Rankine Cycle --- geothermal energy --- shell and tube heat exchanger --- fouling resistance --- mobile thermal energy storage (M-TES) --- phase change material (PCM) --- LCOH --- heat transport --- renewable energy source --- household hybrid system --- dynamic simulation --- economic analysis --- TRNSYS software --- heating and cooling network --- polygeneration system --- geothermal energy community --- ORC --- energy district --- heat pump --- R1234ze --- CO2 --- geothermal --- renewable energy --- historic building --- energy saving --- earth-to-air --- horizontal pipe --- 2D model --- air conditioning --- renewable energy sources --- thermal performances --- energy efficiency --- parametric study --- geothermal resource --- Monte Carlo simulation --- assessment --- thermal reservoir --- North Jiangsu Basin
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Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and planners must provide the simplest and most robust tools to collect, process, and analyze data in order to offer solid data-based evidence for future projections in building, district, and regional systems planning. This Special Issue aims at providing the state-of-the-art on open-energy data analytics; its availability in the different contexts, i.e., country peculiarities; and its availability at different scales, i.e., building, district, and regional for data-aware planning and policy-making. For all the aforementioned reasons, we encourage researchers to share their original works on the field of open data and energy analytics. Topics of primary interest include but are not limited to the following: 1. Open data and energy sustainability; 2. Open data science and energy planning; 3. Open science and open governance for sustainable development goals; 4. Key performance indicators of data-aware energy modelling, planning, and policy; 5. Energy, water, and sustainability database for building, district, and regional systems; 6. Best practices and case studies.
data envelopment analysis --- Kohonen self-organizing maps --- factor analysis --- multiple regression --- energy efficiency --- social media --- energy-consuming activities --- energy consumption --- machine learning --- ontology --- energy performance certificate --- heating energy demand --- buildings --- data mining --- classification --- regression --- decision tree --- support vector machine --- random forest --- artificial neural network --- open data --- electrification modelling --- Malawi --- OnSSET --- MESSAGEix --- reproducibility --- collaborative work --- open modelling and data --- data-handling --- integrated assessment modelling --- data pre- and post-processing --- space heating --- domestic hot water --- market assessment --- EU28 --- district heating --- data analytics --- big data --- forecasting --- energy --- polygeneration --- clustering --- kNN --- pattern recognition --- heating --- building stock --- heat map --- spatial analysis --- heat density map --- building performance simulation --- parametric modelling --- energy management --- model calibration --- Passive House --- energy planning --- energy potential mapping --- urban energy atlas --- urban energy transition --- energy data --- data-aware planning --- spatial planning --- open data analytics --- smart cities --- open energy governance --- urban database --- energy mapping --- building dataset --- energy modelling
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The depletion of natural energy resources provides evidential adverse impacts on world economy functionality. The strong requirement of a sustainable energy supply has escalated intensive research and the discovery of cleaner energy sources, as well as efficient energy management practices. In the context of a circular economy, this research not only targets the optimisation of resources utilisation at different stages but also emphasises the eco-design of products to extend production life spans. Based on this concept, this book discusses the roles of process integration approaches, renewable energy sources utilisation and design modifications in addressing the process energy and exergy efficiency improvement. The primary focus is to enhance the economic and environmental performance through process analysis, modelling and optimisation. The articles mainly show the contribution of each aspect: (a) design and numerical study for innovative energy-efficient technologies, (b) process integration—heat and power, (c) process energy efficiency or emission analysis, and (d) optimisation of renewable energy resources’ supply chain. The articles are based on the latest contribution of this journal’s Special Issues in the 21st conference entitled “Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES)”. This book is complemented with an editorial review to highlight the broader state-of-the-art development.
particulate matter --- fine particles --- combustion particles --- nucleation --- particle growth --- data envelopment analysis --- energy efficiency --- food loss and waste --- life-cycle assessment --- welding residual stress --- welding deflection --- T-joint fillet weld --- preheat temperature --- interpass time --- finite element analysis --- water desalination --- water supply --- water shortage --- energy demand --- environmental impacts --- specific energy consumption --- cryogenic energy storage --- air liquefaction --- exergy analysis --- economic analysis --- exergoeconomic analysis --- heat exchanger network --- structural controllability --- structural observability --- operability --- network science --- sensor and actuator placement --- simplified methods --- design procedure --- convection section --- radiant section --- flow distribution --- heat flux distribution --- boiler --- solar collector network --- minimum number of solar collectors --- maximum operating time --- flexible operation --- district heating --- heat accumulation --- pipe --- numerical model --- Modelica language --- Julia language --- performance --- off-grid polygeneration --- micro-hydropower plant --- fuzzy optimization --- mixed-integer linear programming --- dual-turbine --- multi-objective --- heat exchanger network (HEN) --- synthesis --- optimization --- direct heat integration --- indirect heat integration --- piping --- pumping --- impinging jet --- dimple --- Nusselt number --- heat transfer --- heat exchanger --- flow boiling --- surface-enhanced tube --- heat transfer coefficient --- flow pattern --- total site heat integration --- heat recovery loop (HRL) --- heat storage --- Monte Carlo (MC) simulation --- data farming --- gasification --- biomass --- total solid particle --- trigeneration system --- process integration --- pinch analysis --- co-generation --- storage system --- trigeneration system cascade analysis --- energy conservation --- latent heat thermal energy storage --- phase change materials --- passive cooling --- bio-adsorbents --- chitosan microbeads --- nanoparticles --- anaerobic digestion --- biowaste --- life cycle assessment --- smart city --- waste collection --- P-Graph framework --- process network synthesis --- multi-periodic model --- sustainability --- co-firing --- wheat straw --- softwood --- bog peat --- pellets --- thermal decomposition --- combustion --- DC electric field --- computational fluid dynamics --- temperature contour --- cooling system --- mathematical optimization --- machine learning --- flexible control technology --- biomass co-firing --- biomass quality --- network optimization --- goal programming --- mixed integer nonlinear programming --- renewable energy sources --- energy-saving technologies
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