- 1
-
TABULA WebTool, 2020.
- 2
-
ABBASABADI, N., AND ASHAYERI, M.
Urban energy use modeling methods and tools: A review and an
outlook.
Building and Environment 161 (2019), 106270.
Publisher: Elsevier.
- 3
-
ANDERSSON, C., AKESSON, J., AND FSUHRER, C.
Pyfmi: A python package for simulation of coupled dynamic
models with the functional mock-up interface.
Centre for Mathematical Sciences, Lund University, 2016.
- 4
-
BEHBOODI, S., CHASSIN, D. P., CRAWFORD, C., AND DJILALI, N.
Renewable resources portfolio optimization in the presence of demand
response.
Applied Energy 162 (2016), 139-148.
Publisher: Elsevier.
- 5
-
BELL, D. G., KUEHNEL, F., MAXWELL, C., KIM, R., KASRAIE, K., GASKINS, T.,
HOGAN, P., AND COUGHLAN, J.
NASA World Wind: Opensource GIS for mission operations.
In 2007 IEEE Aerospace Conference (2007), IEEE,
pp. 1-9.
- 6
-
BLOCHWITZ, T., OTTER, M., ARNOLD, M., BAUSCH, C., ELMQVIST, H., JUNGHANNS,
A., MAUß, J., MONTEIRO, M., NEIDHOLD, T., AND NEUMERKEL, D.
The functional mockup interface for tool independent exchange of
simulation models.
In Proceedings of the 8th International Modelica
Conference; March 20th-22nd; Technical Univeristy; Dresden;
Germany (2011), Linköping University Electronic Press, pp. 105-114.
- 7
-
BUNDESMINISTERIUM FÜR VERKEHR, BAU UND STADTENTWICKLUNG (BMVBS).
Bekanntmachung der Regeln zur Datenaufnahme und Datenverwendung
im Wohngebäudebestand, 2002.
- 8
-
CIGNONI, P., CALLIERI, M., CORSINI, M., DELLEPIANE, M., GANOVELLI, F., AND
RANZUGLIA, G.
Meshlab: an open-source mesh processing tool.
In Eurographics Italian chapter conference (2008),
vol. 2008, pp. 129-136.
- 9
-
CONNOLLY, D., LUND, H., MATHIESEN, B. V., WERNER, S., MSOLLER, B.,
PERSSON, U., BOERMANS, T., TRIER, D., ØSTERGAARD, P. A., AND NIELSEN, S.
Heat Roadmap Europe: Combining district heating with heat
savings to decarbonise the EU energy system.
Energy policy 65 (2014), 475-489.
Publisher: Elsevier.
- 10
-
CRAWLEY, D. B., LAWRIE, L. K., WINKELMANN, F. C., BUHL, W. F., HUANG,
Y. J., PEDERSEN, C. O., STRAND, R. K., LIESEN, R. J., FISHER, D. E., AND
WITTE, M. J.
EnergyPlus: creating a new-generation building energy simulation
program.
Energy and Buildings 33, 4 (2001), 319-331.
Publisher: Elsevier.
- 11
-
DAVILA, C. C., REINHART, C. F., AND BEMIS, J. L.
Modeling Boston: A workflow for the efficient generation and
maintenance of urban building energy models from existing geospatial
datasets.
Energy 117 (2016), 237-250.
- 12
-
ENTSO-E.
ENTSO-E Transparency Platform, 2020.
- 13
-
FABBRI, K., AND TARABUSI, V.
Top-down and bottom-up methodologies for energy building performance
evaluation at meso-scale level-A literature review.
J. Civ. Eng. Archit. Res 1, 5 (2014), 283-299.
- 14
-
FERRARI, S., ZAGARELLA, F., CAPUTO, P., AND BONOMOLO, M.
Assessment of tools for urban energy planning.
Energy 176 (2019), 544-551.
Publisher: Elsevier.
- 15
-
FISCH, N., ALTENDORF, L., KÜHL, L., WILKEN, T., BRANDT, E., AND
GAWRON, T.
Vergleichswerte für Verbrauch bei Wohngebäuden.
BBSR / BMVBS-Online-Publikation 11, 2012.
- 16
-
FISCHER, D., HÄRTL, A., AND WILLE-HAUSSMANN, B.
Model for electric load profiles with high time resolution for
German households.
Energy and Buildings 92 (2015), 170-179.
Publisher: Elsevier.
- 17
-
FONSECA, J. A., NGUYEN, T.-A., SCHLUETER, A., AND MARECHAL, F.
City Energy Analyst (CEA): Integrated framework for analysis
and optimization of building energy systems in neighborhoods and city
districts.
Energy and Buildings 113 (2016), 202-226.
Publisher: Elsevier.
- 18
-
FÜNFGELD, C., AND TIEDEMANN, R.
Anwendung der repräsentativen VDEW-Lastprofile:
step-by-step.
VDEW, 2000.
- 19
-
GEOBASIS NRW.
3D-Messdaten Laserscanning – Paketierung: Gemeinden,
2020.
- 20
-
GILS, H. C.
Assessment of the theoretical demand response potential in Europe.
Energy 67 (2014), 1-18.
Publisher: Elsevier.
- 21
-
GILS, H. C.
Balancing of intermittent renewable power generation by demand
response and thermal energy storage.
- 22
-
GOOGLE.
Google Environmental Insights Explorer, 2020.
- 23
-
GRÖGER, G., AND PLÜMER, L.
CityGML-Interoperable semantic 3D city models.
ISPRS Journal of Photogrammetry and Remote Sensing 71 (2012),
12-33.
Publisher: Elsevier.
- 24
-
GUGLIELMETTI, R., MACUMBER, D., AND LONG, N.
OpenStudio: an open source integrated analysis platform.
Tech. rep., National Renewable Energy Lab.(NREL), Golden, CO (United
States), 2011.
- 25
-
HAKE, J.-F., FISCHER, W., VENGHAUS, S., AND WECKENBROCK, C.
The German Energiewende–history and status quo.
Energy 92 (2015), 532-546.
Publisher: Elsevier.
- 26
-
HONG, T., CHEN, Y., LEE, S. H., AND PIETTE, M. A.
CityBES: A web-based platform to support city-scale building
energy efficiency.
Urban Computing (2016).
- 27
-
HONG, T., CHEN, Y., LUO, X., LUO, N., AND LEE, S. H.
Ten questions on urban building energy modeling.
Building and Environment 168 (2020), 106508.
Publisher: Elsevier.
- 28
-
HONG, T., TAYLOR-LANGE, S. C., D'OCA, S., YAN, D., AND CORGNATI, S. P.
Advances in research and applications of energy-related occupant
behavior in buildings.
Energy and Buildings 116 (2016), 694-702.
Publisher: Elsevier.
- 29
-
HUO, T., CAI, W., REN, H., FENG, W., ZHU, M., LANG, N., AND GAO, J.
China's building stock estimation and energy intensity analysis.
Journal of Cleaner Production 207 (2019), 801-813.
Publisher: Elsevier.
- 30
-
HUO, T., REN, H., AND CAI, W.
Estimating urban residential building-related energy consumption and
energy intensity in China based on improved building stock turnover model.
Science of the Total Environment 650 (2019), 427-437.
Publisher: Elsevier.
- 31
-
ISSERMANN, M.
Wuppertal WorldWind Environmental Monitor, 2019.
- 32
-
KAZHDAN, M., AND HOPPE, H.
Screened poisson surface reconstruction.
ACM Transactions on Graphics (ToG) 32, 3 (2013), 29.
- 33
-
KFW.
Energy-efficient urban redevelopment, 2011.
Library Catalog: www.energetische-stadtsanierung.info.
- 34
-
KWON, S., NTAIMO, L., AND GAUTAM, N.
Optimal day-ahead power procurement with renewable energy and demand
response.
IEEE Transactions on Power Systems 32, 5 (2016), 3924-3933.
Publisher: IEEE.
- 35
-
LEIBOWICZ, B. D., LANHAM, C. M., BROZYNSKI, M. T., VSAZQUEZ-CANTELI,
J. R., CASTEJ´ON, N. C., AND NAGY, Z.
Optimal decarbonization pathways for urban residential building
energy services.
Applied energy 230 (2018), 1311-1325.
Publisher: Elsevier.
- 36
-
LI, W., ZHOU, Y., CETIN, K., EOM, J., WANG, Y., CHEN, G., AND ZHANG, X.
Modeling urban building energy use: A review of modeling approaches
and procedures.
Energy 141 (2017), 2445-2457.
Publisher: Elsevier.
- 37
-
LINDBERG, F., GRIMMOND, C. S. B., GABEY, A., HUANG, B., KENT, C. W., SUN,
T., THEEUWES, N. E., JSARVI, L., WARD, H. C., AND CAPEL-TIMMS, I.
Urban Multi-scale Environmental Predictor (UMEP): An
integrated tool for city-based climate services.
Environmental Modelling & Software 99 (2018), 70-87.
Publisher: Elsevier.
- 38
-
LOGA, T., DIEFENBACH, N., STEIN, B., AND BORN, R.
TABULA-Scientific Report Germany Further Development of
the German Residential Building Typology.
Institut Wohnen und Umwelt, Darmstadt (2012).
- 39
-
LOGA, T., HACKE, U., MÜLLER, A., GROßKLOS, M., STEIN, B., BORN, R.,
RENZ, I., HINZ, E., CISCHINSKY, H., AND HÖRNER, M.
Berücksichtigung des Nutzerverhaltens bei energetischen
Verbesserungen.
Tech. rep., IWU - Institut Wohnen und Umwelt, Darmstadt, Germany,
2017.
- 40
-
LOGA, T., STEIN, B., AND DIEFENBACH, N.
TABULA building typologies in 20 European countries - Making
energy-related features of residential building stocks comparable.
Energy and Buildings 132 (2016), 4-12.
- 41
-
NOUIDUI, T., WETTER, M., AND ZUO, W.
Functional mock-up unit for co-simulation import in EnergyPlus.
Journal of Building Performance Simulation 7, 3 (2014),
192-202.
Publisher: Taylor & Francis.
- 42
-
NOUVEL, R., BRASSEL, K.-H., BRUSE, M., DUMINIL, E., COORS, V., EICKER, U.,
AND ROBINSON, D.
SimStadt, a new workflow-driven urban energy simulation platform
for CityGML city models.
In Proceedings of International Conference CISBAT 2015
Future Buildings and Districts Sustainability from Nano to Urban
Scale (2015), LESO-PB, EPFL, pp. 889-894.
- 43
-
O'NEILL, Z., AND NIU, F.
Uncertainty and sensitivity analysis of spatio-temporal occupant
behaviors on residential building energy usage utilizing Karhunen-Loève
expansion.
Building and Environment 115 (2017), 157-172.
Publisher: Elsevier.
- 44
-
OPENSTREETMAP CONTRIBUTORS.
Planet dump retrieved from https://planet.osm.org.
- 45
-
OPENWEATHER.
Weather API, 2020.
- 46
-
PASICHNYI, O., WALLIN, J., AND KORDAS, O.
Data-driven building archetypes for urban building energy modelling.
Energy 181 (2019), 360-377.
Publisher: Elsevier.
- 47
-
PFLUGRADT, N., AND MUNTWYLER, U.
Synthesizing residential load profiles using behavior simulation.
Energy Procedia 122 (2017), 655-660.
Publisher: Elsevier.
- 48
-
PFLUGRADT, N. D.
Modellierung von Wasser und Energieverbräuchen in
Haushalten.
- 49
-
REINHART, C., DOGAN, T., JAKUBIEC, J. A., RAKHA, T., AND SANG, A.
Umi-an urban simulation environment for building energy use,
daylighting and walkability.
In 13th Conference of International Building Performance
Simulation Association, Chambery, France (2013).
- 50
-
REINHART, C. F., AND DAVILA, C. C.
Urban building energy modeling-A review of a nascent field.
Building and Environment 97 (2016), 196-202.
- 51
-
REUTTER, O., BIERWIRTH, A., GRÖNE, M.-C., LEMKEN, T., LUCAS, R.,
MATTNER, T., MEINEL, U., PALZKILL-VORBECK, A., RITTHOFF, M., AND RUDOLPH, F.
Low carbon city Wuppertal 2050: Sondierungsstudie.
Abschlussbericht. Wuppertal (2012).
- 52
-
ROBINSON, D., HALDI, F., LEROUX, P., PEREZ, D., RASHEED, A., AND WILKE,
U.
CitySim: Comprehensive micro-simulation of resource flows for
sustainable urban planning.
In Proceedings of the Eleventh International IBPSA
Conference (2009), pp. 1083-1090.
Issue: CONF.
- 53
-
SÆLE, H., AND GRANDE, O. S.
Demand response from household customers: Experiences from a pilot
study in Norway.
IEEE Transactions on Smart Grid 2, 1 (2011), 102-109.
Publisher: IEEE.
- 54
-
SANTOSH, P.
Eppy 0.5.52 documentation, 2019.
- 55
-
SCHIEFELBEIN, J., DIEKERHOF, M., JAVADI, A. P., BODE, G. T., STREBLOW, R.,
MüLLER, D., AND MONTI, A.
Development of a tool chain for complex city district energy
system modeling and simulation.
Universitätsbibliothek der RWTH Aachen, 2016.
- 56
-
SCHOLZ, R., BECKMANN, M., PIEPER, C., MUSTER, M., AND WEBER, R.
Considerations on providing the energy needs using exclusively
renewable sources: Energiewende in Germany.
Renewable and Sustainable Energy Reviews 35 (2014), 109-125.
Publisher: Elsevier.
- 57
-
SCHRÖDER, F. P., PAPERT, O., BOEGELEIN, T., NAVARRO, H., AND MUNDRY,
B.
Reale Trends des spezifischen Energieverbrauchs und
repräsentativer Wohnraumtemperierung bei steigendem
Modernisierungsgrad im Wohnungsbestand.
Bauphysik 36, 6 (2014), 309-324.
Publisher: Wiley Online Library.
- 58
-
SOLA, A., CORCHERO, C., SALOM, J., AND SANMARTI, M.
Multi-domain Urban-Scale Energy Modelling tools: a Review.
Sustainable Cities and Society (2019), 101872.
- 59
-
STADT WUPPERTAL.
Wohngebäude-Baujahre Wuppertal | Offene Daten
Wuppertal, 2020.
- 60
-
STATISTISCHES BUNDESAMT.
Gebäude- und Wohnungszählung, 2011.
- 61
-
STEIN, B., GRAFE, M., TOBIAS LOGA, ENSELING, A., AND WERNER, P.
Energetische Stadtsanierung - Integriertes Quartierskonzept
Mainz-Lerchenberg.
Tech. rep., IWU-Institut Wohnen und Umwelt, Darmstadt/Germany, 2014.
- 62
-
STEINIGER, S., AND HUNTER, A. J.
The 2012 free and open source GIS software map-A guide to
facilitate research, development, and adoption.
Computers, environment and urban systems 39 (2013), 136-150.
Publisher: Elsevier.
- 63
-
SUBERU, M. Y., MUSTAFA, M. W., AND BASHIR, N.
Energy storage systems for renewable energy power sector integration
and mitigation of intermittency.
Renewable and Sustainable Energy Reviews 35 (2014), 499-514.
Publisher: Elsevier.
- 64
-
TOMORROW.
Live CO2 emissions of electricity consumption, 2020.
- 65
-
ÜRGE-VORSATZ, D., PETRICHENKO, K., AND BUTCHER, A. C.
How far can buildings take us in solving climate change? A novel
approach to building energy and related emission forecasting.
Energy Efficiency First: The Foundation of a Low-Carbon
Society (2011).
Publisher: Belambra Presqu’île de Giens France.
- 66
-
WANG, X., PALAZOGLU, A., AND EL-FARRA, N. H.
Operational optimization and demand response of hybrid renewable
energy systems.
Applied Energy 143 (2015), 324-335.
Publisher: Elsevier.
- 67
-
WILKE, U., HALDI, F., SCARTEZZINI, J.-L., AND ROBINSON, D.
A bottom-up stochastic model to predict building occupants
time-dependent activities.
Building and Environment 60 (2013), 254-264.
Publisher: Elsevier.
Maikel Issermann