Browsing by Author "Tsagkrasoulis, Dimosthenis"
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Item Analysis of building energy upgrade technologies for implementing the dual energy efficiency and demand response scheme for non-residential buildings(2019-09) Macías, Olga; Noyé, Sarah; Tellado, Nagore; Torrens, Ignacio; de Agustin-Camacho, Pablo; Tsagkrasoulis, Dimosthenis; Bucur, Mircea; Southernwood, Jo; Tecnalia Research & InnovationThe continuous growth of renewable energy and the transition to a more de-centralised electricity generation adds significant complexity to balance power supply and demand in the grid. These imbalances are partially compensated by demand response programs, which represent a new business opportunity in the building sector, especially for ESCOs. Including demand response to their traditional energy efficiency-based business model adds an additional revenue stream that could potentially shorten payback periods of energy renovation projects. This paper introduces this new dual-services business model, and evaluates the potential suitability of HVAC, generation and storage technologies to ensure proposed energy efficiency and flexibility goals.Item Optimization module for filtering and ranking alternative energy replacement systems, in an online ICT design tool for building retrofits(2019-11-20) Elguezabal, Peru; Arregi, Beñat; Armijo, Alberto; Schuetz, Philipp; Gwerder, Damian; Scoccia, Rossano; Tsagkrasoulis, Dimosthenis; Aprile, Marcello; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓN; EDIFICACIÓN DE ENERGÍA POSITIVA; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓNThis paper describes the development of an innovative optimizer component as part of a calculation tool for evaluating and comparing a set of retrofitting options for domestic heating and cooling systems. At the initial stage of the process, a filtering sub-module has been developed to pre-process the information introduced by the user and generate a limited set of simulations, thus speeding up the calculation process. At a later stage, the optimizer collects and post-processes outputs from the simulation core before displaying them as a result. In this later stage, a series of performance indicators are calculated and an analytical hierarchical process (AHP) is performed to rank the results based on the user's prioritization weighting for each key performance indicator. As the main outcome of this contribution, the benefits of implementing this optimizer are evaluated in increasing the efficiency of the rest of the components of the tool and, consequently, of the overall calculation process.