@techreport{Budde2021, author = {Budde, Janik}, title = {A comparison of reverse electrodialysis and pressure retarded osmosis as technologies for salinity gradient power}, doi = {10.25974/ren_rev_2021_14}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-136882}, pages = {72-78}, year = {2021}, abstract = {The global salinity gradient power (SGP) potential is between 1650 - 2000 TWH/a and can be converted by mixing two solutions with different salinities. The harnessing of SGP for conversion into power can be accomplished by means of pressure retarded osmosis (PRO) and reverse electrodialysis (RED). PRO and RED are membrane-based technologies and have different working principles. PRO uses a semipermeable membrane to seperate a concentrated salt solution from a diluted solution. The diluted solution flows through the semipermeable membrane towards the concentrated solution, which increases the pressure within the concentrated solution chamber. The pressure is balanced by a turbine and electricity is generated. RED uses the transport of ions through cation and anion exchange membranes. The chambers between the membranes are alternately filled with a concentrated and diluted solution. The salinity gradient difference is the driving force in transporting ions that results in an electric potential, which is then converted to electricity. The comparison shows that there are two different fields of application for PRO and RED. PRO is especially suitable at extracting salinity energy from large concentration differences. In contrast, RED are not effect by increasing concentration differences. So PRO are supposed to focus on applications with brines or waste water and RED on applications with river water and seawater. Moreover, just a few measured values from processes under real conditions are available, which makes it difficult to compare PRO and RED.}, language = {en} } @techreport{HoernschemeyerSoefkerRienietsNiestenetal.2023, author = {H{\"o}rnschemeyer, Birgitta and S{\"o}fker-Rieniets, Anne and Niesten, Jan and Arendt, Rosalie and Kleckers, Jonas and Stretz, Celestin and Klemm, Christian and Budde, Janik and Wagner, R{\"u}diger and Vonhoegen, Laura and Reicher, Christa and Grimsehl-Schmitz, Winona and Wirbals, Daniel and Stieglitz-Broll, Eva-Maria and Agatz, Kerstin and Bach, Vanessa and Finkbeiner, Matthias and Lewe, Mareike and Henrichs, Malte and Haberkamp, Jens and Walter, Gotthard and Flamme, Sabine and Vennemann, Peter and Zamzow, Malte and Seis, Wolfgang and Matzinger, Andreas and Sonnenberg, Hauke and Rouault, Pascale and Maßmann, Stefanie and Fuchs, Lothar and Plogmeier, Christoph and Steinkamp, Arne and Şereflioğlu, Şenay and M{\"u}ller, Claus and Spital, Matthias and Uhl, Mathias}, title = {Leitfaden RessourcenPlan - Teil 1: Konzeption RessourcenPlan. Ergebnisse des Projekts R2Q RessourcenPlan im Quartier}, publisher = {FH M{\"u}nster}, address = {M{\"u}nster}, organization = {IWARU Institut f{\"u}r Infrastruktur·Wasser·Ressourcen·Umwelt}, doi = {10.25974/fhms-15746}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-157463}, year = {2023}, language = {de} } @techreport{KlemmBuddeBeckeretal.2023, author = {Klemm, Christian and Budde, Janik and Becker, Gregor and Arendt, Rosalie and Bach, Vanessa and Finkbeiner, Matthias and Vennemann, Peter}, title = {Leitfaden RessourcenPlan - Teil 2.4: Ressourcenmanagement Energie. Ergebnisse des Projekts R2Q RessourcenPlan im Quartier}, doi = {10.25974/fhms-15756}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-157560}, year = {2023}, language = {de} } @techreport{HoernschemeyerKleckersStretzetal.2023, author = {H{\"o}rnschemeyer, Birgitta and Kleckers, Jonas and Stretz, Celestin and Klemm, Christian and Budde, Janik and S{\"o}fker-Rieniets, Anne and Vonhoegen, Laura and Zamzow, Malte and Matzinger, Andreas and Maßmann, Stefanie and Plogmeier, Christoph}, title = {Leitfaden RessourcenPlan - Teil 3.1: Kurzanleitung RessourcenPlan. Ergebnisse des Projekts R2Q RessourcenPlan im Quartier}, doi = {10.25974/fhms-15758}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-157581}, year = {2023}, language = {de} } @techreport{SoefkerRienietsVonhoegenKlemmetal.2023, author = {S{\"o}fker-Rieniets, Anne and Vonhoegen, Laura and Klemm, Christian and Budde, Janik and H{\"o}rnschemeyer, Birgitta and Lewe, Mareike and Kleckers, Jonas and Stretz, Celestin}, title = {Leitfaden RessourcenPlan - Teil 3.2: Lernen von anderen - Booklet „Best-Practice". Ergebnisse des Projekts R2Q RessourcenPlan im Quartier}, doi = {10.25974/fhms-15759}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-157595}, year = {2023}, language = {de} } @techreport{HoernschemeyerKleckersStretzetal.2023, author = {H{\"o}rnschemeyer, Birgitta and Kleckers, Jonas and Stretz, Celestin and Klemm, Christian and Budde, Janik and Arendt, Rosalie and Lewe, Mareike and Albers, Flemming}, title = {Leitfaden RessourcenPlan - Teil 3.3: Maßnahmen des Quartiersmanagements: Maßnahmensteckbriefe. Ergebnisse des Projekts R2Q RessourcenPlan im Quartier}, doi = {10.25974/fhms-15760}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-157603}, year = {2023}, language = {de} } @techreport{Budde2022, type = {Working Paper}, author = {Budde, Janik}, title = {Residential load profile tools - A review and comparison of applied tools}, doi = {10.25974/fhms-17857}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-178573}, pages = {16}, year = {2022}, abstract = {The energy demand of the residential sector contributed to about 29 \% of Germany's final energy consumption in 2020. For the planning and optimization of energy systems, an understanding of the temporal energy consumption is necessary. This paper discusses tools for estimating these load profiles. Load profiles for electricity, space heating and domestic hot water (DHW) are investigated. A total of ten tools were applied. It turns out that the selected load profiles are dependent on the field of application. Load profiles influence the results of energy system modeling and therefore it is important to differentiate load profile tools. Standardized load profiles are well suited when a large number of buildings are considered. Stochastic load profiles, behavioral load profiles and the reference load profiles are well suited for building-specific simulations. Physical load pro- files are well suited for single building models, but as soon as several buildings are considered, the input effort for a sufficient accuracy is high.}, language = {de} } @article{HoernschemeyerSoefkerRienietsNiestenetal.2022, author = {H{\"o}rnschemeyer, Birgitta and S{\"o}fker-Rieniets, Anne and Niesten, Jan and Arendt, Rosalie and Kleckers, Jonas and Klemm, Christian and Stretz, Celestin Julian and Reicher, Christa and Grimsehl-Schmitz, Winona and Wirbals, Daniel and Bach, Vanessa and Finkbeiner, Matthias and Haberkamp, Jens and Budde, Janik and Vennemann, Peter and Walter, Gotthard and Flamme, Sabine and Uhl, Mathias}, title = {The ResourcePlan — An Instrument for Resource-Efficient Development of Urban Neighborhoods}, series = {Sustainability}, volume = {14}, journal = {Sustainability}, number = {3}, publisher = {MDPI}, doi = {10.25974/fhms-14854}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-148545}, year = {2022}, abstract = {In Germany, the current sectoral urban planning often leads to inefficient use of resources, partly because municipalities lack integrated planning instruments and argumentation strength toward politics, investors, or citizens. The paper develops the ResourcePlan as (i) legal and (ii) a planning instrument to support the efficient use of resources in urban neighborhoods. The integrative, multi-methodological approach addresses the use of natural resources in the building and infrastructural sectors of (i) water (storm- and wastewater) management, (ii) construction and maintenance of buildings and infrastructure, (iii) urban energy system planning, and (iv) land-use planning. First, the development as legal instrument is carried out, providing (i) premises for integrating resource protection at all legal levels and (ii) options for implementing the ResourcePlan within German municipal structures. Second, the evaluation framework for resource efficiency of the urban neighborhoods is set up for usage as a planning instrument. The framework provides a two-stage process that runs through the phases of setting up and implementing the ResourcePlan. (Eco)system services are evaluated as well as life cycle assessment and economic aspects. As a legal instrument, the ResourcePlan integrates resource protection into municipal planning and decision-making processes. The multi-methodological evaluation framework helps to assess inter-disciplinary resource efficiency, supports the spatial identification of synergies and conflicting goals, and contributes to transparent, resource-optimized planning decisions.}, language = {de} } @article{KlemmBeckerTocklothetal.2023, author = {Klemm, Christian and Becker, Gregor and Tockloth, Jan N. and Budde, Janik and Vennemann, Peter}, title = {The Spreadsheet Energy System Model Generator (SESMG): A tool for the optimization of urban energy systems}, series = {Journal of Open Source Software}, volume = {8}, journal = {Journal of Open Source Software}, number = {89}, issn = {2475-9066}, doi = {10.25974/fhms-17084}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-170845}, pages = {5519}, year = {2023}, abstract = {The Spreadsheet Energy System Model Generator (SESMG) is a tool for modeling and optimizing energy systems with a focus on urban systems. The SESMG is easily accessible as it comes with a browser-based graphical user interface, spreadsheets to provide data entry, and detailed documentation on how to use it. Programming skills are not required for the installation or application of the tool. The SESMG includes advanced modeling features such as the application of the multi-energy system (MES) approach, multi-objective optimization, model-based methods for reducing computational requirements, and automated conceptualization and result processing of urban energy systems with high spatial resolution. Due to its accessibility and the applied modeling methods, urban energy systems can be modeled and optimized with comparatively low effort.}, language = {en} }