12th international conference on improving energy efficiency in commercial buildings and smart communities

Table of Contents

• Contents 3
• Abstract 4
• 1 Analysis of a novel compact integrated thermal energy storage system (MiniStor) in European sites 5
• Alexandros Tsimpoukis, Georgios Martinopoulos and Nikolaos Nikolopoulos 5
• Centre for Research & Technology Hellas /Chemical Process and Energy Resources Institute, 57001, Thessaloniki, Greece 5
• Abstract 5
• Introduction 5
• 1.1 MiniStor system description 6
• 1.1.1 PVT and solar thermal collectors 8
• 1.1.2 Thermochemical Reactor and ammonia cycle operation 9
• 1.1.3 Heat Pump and Phase Change Material storage 11
• 1.1.4 Safety Equipment 12
• 1.2 Simulation results and discussion 13
• Conclusions 16
• References 17
• 2 NABERS Nearly 25 years on - Program Overview 19
• Dr Paul Bannister, DeltaQ Pty Ltd 19
• Carlos Flores, NABERS 19
• Abstract 19
• 2.1 Background 19
• 2.1.1 Building Energy Efficiency and Rating Schemes 19
• 2.2 What is NABERS? 20
• 2.2.1 History 20
• 2.2.2 Rating types 21
• 2.2.3 Rating Methodology 22
• 2.2.4 Coverage 22
• 2.2.5 NABERS NZ 23
• 2.2.6 NABERS UK 23
• 2.2.7 NABERS and New Buildings 24
• 2.3 NABERS Operations 24
• 2.3.1 Governance 24
• 2.3.2 Operations 24
• 2.4 Uptake of NABERS 25
• 2.4.1 Australia: Energy/emissions Ratings FY 2023 25
• Australia – Water/Indoor environment/Waste ratings 26
• 2.4.2 Australia – Commitment Agreements 27
• 2.5 NABERSNZ 27
• 2.6 NABERS UK 28
• 2.7 Impact of NABERS 28
• 2.8 Discussion 30
• 2.8.1 Success Factors 30
• 2.8.2 Issues, Challenges and Lessons Learnt 31
• 2.9 Moving Forward 32
• Conclusions 33
• References 34
• 3 Commercial Building Energy Efficiency Measures for the Australian National Construction Code: Preliminary Results 35
• Dr Paul Bannister, DeltaQ Pty Ltd 35
• Eser Monty, DeltaQ Pty Ltd 35
• Grace Foo, DeltaQ Pty Ltd 35
• Hongsen Zhang, Enerefficiency Pty Ltd 35
• Sam Moffitt, Moffitt Consulting Pty Ltd 35
• Abstract 35
• Introduction 35
• 3.1 Australian Climate Zones 36
• 3.2 Outline Analysis Process 36
• 3.2.1 Stringency levels 36
• 3.2.2 Analysis process 37
• 3.3 Summary of Key Analyses and Recommendations 38
• 3.3.1 Glazing 38
• 3.3.2 Chillers 39
• 3.3.3 Unitary Air-Conditioning 40
• 3.3.4 PV And Batteries 41
• 3.3.5 Other HVAC Measures 41
• 3.3.6 Other Building Envelope Measures 42
• 3.3.7 Lighting 44
• 3.3.8 Electrification 44
• 3.4 Whole Building Results 45
• 3.4.1 Stringency 1 – energy efficiency measures only 45
• 3.4.2 Stringency 2 – Stringency 1 plus rooftop PV 46
• 3.4.3 Stringency 3 – Stringency 2 plus electrification 47
• 3.5 Discussion and Next Steps 48
• Discussion 48
• Next steps 48
• Conclusions 48
• References 49
• 4 Machine Learning algorithms for Urban Building Energy Modeling 50
• Ahad Montazeri1, Guglielmina Mutani1,* 50
• 1 Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy, +390110904528, name.surname@polito.it 50
• *Corresponding author: guglielmina.mutani@polito.it 50
• Abstract 50
• Introduction 50
• 4.1 Case study 51
• 4.2 Methodology 52
• 4.3 Discussion and results 56
• Conclusion 62
• Acknowledgments 63
• References 64
• 5 Quantifying the Growing Gap Between Brown and Green Buildings 65
• Lucienne Mosquera 65
• CEO and Founder SustainCRE 65
• Abstract 65
• Introduction 65
• 5.1 How big is the threat and opportunity? 65
• 5.2 How time, business models, occupiers, investors, and valuers will drive the growing gap. 67
• 5.2.1 Diminishing premiums 67
• 5.2.2 Business models 68
• 5.2.3 Occupier Demand 68
• 5.2.4 Investor Demand 70
• 5.2.5 Valuation 71
• 5.3 Quantifying the brown discount 72
• 5.4 Main value drivers 73
• 5.4.1 Higher revenue 73
• 5.4.2 Lower operating costs 73
• 5.5 Impact Coordination 74
• 5.5.1 Cash Flow and Valuations 74
• Conclusion 75
• 6 Risk aware resource planning for microgrid connected edge data center with renewable energy production operating under grid power constraints 77
• Rickard Brännvall1, Sebastian Fredriksson1, Jonas Gustafsson1, Lackis Eleftheriadis2 77
• 1RISE, Research Institutes of Sweden, Luleå, Sweden, 77
• 2Ericsson Research, Sweden 77
• Abstract 77
• Introduction 77
• 6.1 Related Work 78
• 6.2 Problem formulation 79
• 6.3 Method 80
• 6.3.1 Theoretical models for irradiance 80
• 6.4 Data sources 80
• 6.5 Datacenter model 83
• 6.6 Results 83
• 6.7 Discussion 85
• Acknowledgment 85
• REFERENCES 86
• Appendix A. Theoretical irradiation models 87
• Appendix B. Deriving the Markov chain 88
• Appendix C. Alternative Planning Method 90
• 7 Smart Lighting systems: Dream or reality? 91
• Georges Zissis1, Paolo Bertoldi2 91
• 1Université de Toulouse, LAPLACE, UMR 5213 (CNRS, INPT, UPS) 91
• 2European Commission, JRC - Ispra, Italy 91
• Abstract 91
• 7.1 The context 91
• 7.2 Smart Lighting Penetration Progress Assessment 93
• 7.3 Smart Lighting Market 95
• 7.4 Smart lighting, energy and market impacts 99
• Conclusions 102
• References 104
• 8 Energy efficiency in lighting based on the implementation of MEPS 107
• F.Z. El Wardi 1, B. El Bannadry 2, A. Dahani 2, C. Benqlilou 2 107
• 1 Physics Department, LPMAT Laboratory, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco 107
• 2 Research team energy sustainability and mathematical modelling (ES2M), Rabat School of Mines 107
• Abstract 107
• Introduction 107
• 8.1 Materials and Methods 109
• 8.1.1 Cost-benefit analysis 109
• 8.2 Results and Discussion 112
• 8.2.1 Proposal of minimum energy performance standards for lighting 112
• 8.2.2 Analysis of energy, economic, and environmental impact of MEPS lighting 114
• Conclusion 116
• References 118
• 9 Lessons learned from analysing PED case studies 120
• Matthias Haase, Ursula Eicker, Caroline Hachem-Vermette; Genku Kayo, Hassam ur Rehman 120
• ZHAW, Switzerland; Concordia University, Canada; Tokyo City University, Japan; VTT Technical Research Center of Finland, Finland 120
• Abstract 120
• Introduction 120
• 9.1 State of the art in PED databases 121
• 9.2 Case studies of energy communities 122
• 9.3 Methodology 122
• 9.4 Results 124
• 9.4.1 Example from Finland 125
• 9.4.2 Example from Canada 126
• 9.4.3 Example from Japan 127
• 9.5 Comparison 128
• 9.6 Discussion 129
• Conclusions 130
• Future developments and conclusions 130
• Widening the perspective to global scale 130
• Replication potential of cases in database 131
• References 132
• Back cover.pdf 1
• Getting in touch with the EU 135
• Finding information about the EU 135