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Reference 1 Salom J., Tamm M., Andresen I., Cali D., Magyari Á., Bukovszki V., Balázs R., Dorizas P.V., Toth Z., Zuhaib S. An evaluation framework for sustainable plus energy neighbourhoods: Moving beyond the traditional building energy assessment. An Evaluation Framework for Sustainable Plus Energy Neighbourhoods: Moving beyond the Traditional Building Energy Assessment. He belongs to the original affiliation 5 (Sheikh Zuhaib SP 5 sp ): SP 5 sp BPIE - Buildings Performance Institute Europe, 1040 Brussels, Belgium; The updated authorship is as follows: Jaume Salom, Meril Tamm, Inger Andresen, Davide Cali, Ábel Magyari, Viktor Bukovszki, Rebeka Balázs, Paraskevi Vivian Dorizas, Zsolt Toth, Sheikh Zuhaib, Clara Mafé, Caroline Cheng, András Reith, Paolo Civiero, Jordi Pascual and Niki Gaitani. [Extracted from the article]

This work introduces a multiphysics test bed which supports the testing of renewable energy systems in the context of home energy systems (HESs). The test bed, based on power-hardware-in-the-loop (PHIL) technology, allows for testing renewable energy systems and HESs in a holistic way. Homes, as the melting pot of different forms of energy, are one of the key enablers for the smart grid technology. The interface of different energy domains is the main propeller for innovation and development of new technologies. The test bed presented in this work comprises thermal, hydraulic, communication, and electrical interfaces, enabling a variety of testing scenarios. The modular structure of the test bed allows for a very flexible setup for analyzing different kinds of HESs. [ABSTRACT FROM PUBLISHER]

Abstract: This paper introduces and evaluates a novel heating and cooling concept employing thermo-active building systems and environmental energy, harnessed from two 11-m3 rainwater cisterns for a 285-m2 residential building in passive house standard in Germany. The building strives for a significantly reduced primary energy use with carefully coordinated measures, such as high quality building envelope, by means of vacuum insulated panels, supply and exhaust air system with heat recovery, reduced solar heat gains (solar shading), and the integration of thermal solar collectors and photovoltaic in the plant system. On this premise, a comprehensive long-term monitoring in high time-resolution was carried out for the building for two years with an accompanying commissioning of the building performance. Measurements comprise the energy use for heating, cooling, and ventilation, as well as the auxiliary equipment, the performance of the environmental heat source and sink (rainwater cistern), thermal comfort, and local climatic site conditions. The analysis focuses on the performance and the efficiency of rainwater cisterns as natural heat source and sink as well as the heat pump system. The paper discusses the performance of thermo-active building systems, investigates the thermal comfort, determines the efficiency of the heating/cooling system, and evaluates the total end and primary energy use of the building. [Copyright &y& Elsevier]

[Display omitted] This paper introduces a non-linear grey-box (GB) model based on stochastic differential equations that describes the heat dynamics of a school building in Denmark, equipped with a water-based heating system. The building is connected to a local district heating network through a heat exchanger. The heat is delivered to the rooms mainly through radiators and partially through a ventilation system. A monitoring system based on IoT sensors provides data on indoor climate in the rooms and on the heat load of the building. Using this data, we estimate unknown states and parameters of a model of the building's heating system using the maximum likelihood method. Important novelties of this paper include models of the water flow in the circuit and the state of the valves in the radiator thermostats. The non-linear model accurately predicts the indoor air temperature, return water temperature and heat load. The ideas behind the model lay a foundation for GB models of buildings that use different kinds of water-based heating systems such as air-to-water/water-to-water heat pumps. Such GB models enable model predictive control to control e.g. the indoor air climate or provide flexibility services. [ABSTRACT FROM AUTHOR]

There are international activities and on-going initiatives, particularly at the European level, to define what Positive Energy Districts should be, as the driving concept for the urban transition to a sustainable future. The first objective of the paper is to contribute to the on-going and lively debate about the definition of the notion of Sustainable Plus Energy Neighbourhood (SPEN), which highlights the multiple dimensions when talking about sustainability in districts moving beyond the traditional and strict building energy assessment. Based on a holistic methodology which ensures the consideration of the multidimensional nature and goals of SPEN, the paper outlines an evaluation framework. The evaluation framework defines the key performance indicators distributed in five categories that consider energy and power performance, GHG emissions, indoor environmental quality, smartness, flexibility, life cycle costs and social sustainability. This framework is designed to be implemented during integrated design processes aiming to select design options for a neighbourhood as well within during the operational phase for monitoring its performance. Further work will include the implementation and validation of the framework in four real-life positive energy neighbourhoods in different climate zones of Europe as part of syn.ikia H2020 project. [ABSTRACT FROM AUTHOR]