30-Year Life Cycle Cost of Solar Based Domestic Hot Water Systems for Ontario

2008 ◽  
Author(s):  
Gurjot S. Gill ◽  
Alan S. Fung
Keyword(s):  
Life Cycle ◽  
Natural Gas ◽  
Fuel Consumption ◽  
Life Cycle Cost ◽  
Heat Recovery ◽  
Ghg Emissions ◽  
Hot Water ◽  
Domestic Hot Water ◽  
On Demand ◽  
Gray Water

The heating of water for domestic purposes presently accounts for 24 percent of Canadian residential energy consumption (Natural Resources Canada, 2006). This energy demand is primarily met by conventional sources such as electricity, natural gas and oil. Recent changes in fuel availability and price as well as environmental concerns lead consumers to give further consideration to the use of solar energy for heating water. The objective of this paper is to simulate the different domestic hot water (DHW) systems to examine their fuel consumption, greenhouse gases (GHG) emissions, life cycle costs and pay back periods. In this case study, seventeen different DHW systems were simulated using TRNSYS as simulation engine. These include solar-based models (with electric and natural gas backup tanks), electric and natural gas tank models (with and without gray water heat recovery), on-demand and combo-boiler systems. This paper will discuss three solar-based systems in detail, however their result comparison with other systems will be discussed. Three different solar-based systems are: I) Solar pre-heat with .56 efficiency natural gas back up tank; II) Solar pre-heat with .94 efficiency electric back up tank; III) Timers (off during peak times 7am till 10 pm) with solar pre-heat and electric (.94 efficiency) secondary. Results indicate that solar alternative having timers with solar pre-heat and electric secondary gives best results in terms of annual fuel consumption ($93) and GHG emissions (266 kg). However on demand modulating gas combo boiler (0.78 efficiency) with gray water heat recovery (0.6 efficiency) has best 30-year life cycle cost ($12332).

scholarly journals Least Cost Analysis of Energy Efficiency Upgrades for Ontario Using Trnsys

2021 ◽  
Author(s):  
Amir Fereidouni Kondri
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Cost Analysis ◽  
Energy Efficient ◽  
Life Cycle Cost ◽  
Net Present Value ◽  
Hot Water ◽  
Life Cycle Costs ◽  
Residential Housing ◽  
Domestic Hot Water

This report presents the methodology for determining least cost energy efficient upgrade solutions in new residential housing using brute force sequential search (BFSS) method for integration into the reference house to reduce energy consumption while minimizing the net present value (NPV) of life cycle costs. The results showed that, based on the life cycle cost analysis of 30 years, the optimal upgrades resulted in the average of 19.25% (case 1), 31% (case 2a), and 21% (case 2b) reduction in annual energy consumption. Economic conditions affect the sequencing of the upgrades. In this respect the preferred upgrades to be performed in order are; domestic hot water heating, above grade wall insulation, cooling systems, ceiling insulation, floor insulation, heat recovery ventilator, basement slab insulation and below grade wall insulation. When the gas commodity pricing becomes high, the more energy efficient upgrades for domestic hot water (DHW) get selected at a cost premium.

scholarly journals Least Cost Analysis of Energy Efficiency Upgrades for Ontario Using Trnsys

2021 ◽  
Author(s):  
Amir Fereidouni Kondri
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Cost Analysis ◽  
Energy Efficient ◽  
Life Cycle Cost ◽  
Net Present Value ◽  
Hot Water ◽  
Life Cycle Costs ◽  
Residential Housing ◽  
Domestic Hot Water

This report presents the methodology for determining least cost energy efficient upgrade solutions in new residential housing using brute force sequential search (BFSS) method for integration into the reference house to reduce energy consumption while minimizing the net present value (NPV) of life cycle costs. The results showed that, based on the life cycle cost analysis of 30 years, the optimal upgrades resulted in the average of 19.25% (case 1), 31% (case 2a), and 21% (case 2b) reduction in annual energy consumption. Economic conditions affect the sequencing of the upgrades. In this respect the preferred upgrades to be performed in order are; domestic hot water heating, above grade wall insulation, cooling systems, ceiling insulation, floor insulation, heat recovery ventilator, basement slab insulation and below grade wall insulation. When the gas commodity pricing becomes high, the more energy efficient upgrades for domestic hot water (DHW) get selected at a cost premium.

scholarly journals Optimal Renovation Strategies through Life-Cycle Analysis in a Pilot Building Located in a Mild Mediterranean Climate

2021 ◽  
Vol 11 (4) ◽  
pp. 1423
Author(s):  
José Manuel Salmerón Lissen ◽  
Cristina Isabel Jareño Escudero ◽  
Francisco José Sánchez de la Flor ◽  
Miriam Navarro Escudero ◽  
Theoni Karlessi ◽  
...  
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Mediterranean Climate ◽  
Building Envelope ◽  
Economic Life ◽  
Hot Water ◽  
Optimal Solutions ◽  
Building Stock ◽  
Existing Building ◽  
The Cost

The 2030 climate and energy framework includes EU-wide targets and policy objectives for the period 2021–2030 of (1) at least 55% cuts in greenhouse gas emissions (from 1990 levels); (2) at least 32% share for renewable energy; and (3) at least 32.5% improvement in energy efficiency. In this context, the methodology of the cost-optimal level from the life-cycle cost approach has been applied to calculate the cost of renovating the existing building stock in Europe. The aim of this research is to analyze a pilot building using the cost-optimal methodology to determine the renovation measures that lead to the lowest life-cycle cost during the estimated economic life of the building. The case under study is an apartment building located in a mild Mediterranean climate (Castellon, SP). A package of 12 optimal solutions has been obtained to show the importance of the choice of the elements and systems for renovating building envelopes and how energy and economic aspects influence this choice. Simulations have shown that these packages of optimal solutions (different configurations for the building envelope, thermal bridges, airtightness and ventilation, and domestic hot water production systems) can provide savings in the primary energy consumption of up to 60%.

scholarly journals Thermal system-specific and net-zero carbon least-cost design of new houses in Canadian cold climates

2021 ◽  
Author(s):  
Brandon Wilbur
Keyword(s):  
Life Cycle ◽  
Heat Pump ◽  
Life Cycle Cost ◽  
Ghg Emissions ◽  
Building Design ◽  
Heating System ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Net Zero ◽  
Zero Carbon

Whole-building model optimizations have been performed for a single-detached house in 5 locations with varying climates, electricity emissions factors, and energy costs. The multi-objective optimizations determine the life-cycle cost vs. operational greenhouse gas emissions Pareto front to discover the 30-year life-cycle least-cost building design heated 1) with natural gas, and 2) electrically using a) central air-source heat pump, b) ductless mini-split heat pump c)ground-source heat pump, and d) electric baseboard, accounting for both initial and operational energy-related costs. A net-zero carbon design with grid-tied photovoltaics is also optimized. Results indicate that heating system type influences the optimal enclosure design, and that neither building total energy use, nor space heating demand correspond to GHG emissions across heating system types. In each location, at least one type of all-electric design has a lower life-cycle cost than the optimized gas-heated model, and such designs can mitigate the majority of operational GHG emissions from new housing in locations with a low carbon intensity electricity supply.

Experimental analysis of an on demand external domestic hot water production system using four control strategies

2013 ◽  
Vol 103 ◽  
pp. 85-96 ◽  
Author(s):  
José Fernández-Seara ◽  
Francisco J. Uhía ◽  
Ángel Á. Pardiñas ◽  
Santiago Bastos
Keyword(s):  
Experimental Analysis ◽  
Production System ◽  
Control Strategies ◽  
Hot Water ◽  
Water Production ◽  
Domestic Hot Water ◽  
On Demand

Optimal Plug-In Hybrid Vehicle Design and Allocation for Minimum Life Cycle Cost, Petroleum Consumption and Greenhouse Gas Emissions

2010 ◽  
Author(s):  
Ching-Shin Norman Shiau ◽  
Scott B. Peterson ◽  
Jeremy J. Michalek
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Life Cycle Cost ◽  
Hybrid Electric Vehicle ◽  
Operating Cost ◽  
Ghg Emissions ◽  
The United States ◽  
Vehicle Design ◽  
Battery Capacity ◽  
Hybrid Electric

Plug-in hybrid electric vehicle (PHEV) technology has the potential to help address economic, environmental, and national security concerns in the United States by reducing operating cost, greenhouse gas (GHG) emissions and petroleum consumption from the transportation sector. However, the net effects of PHEVs depend critically on vehicle design, battery technology, and charging frequency. To examine these implications, we develop an integrated optimization model utilizing vehicle physics simulation, battery degradation data, and U.S. driving data to determine optimal vehicle design and allocation of vehicles to drivers for minimum life cycle cost, GHG emissions, and petroleum consumption. We find that, while PHEVs with large battery capacity minimize petroleum consumption, a mix of PHEVs sized for 25–40 miles of electric travel produces the greatest reduction in lifecycle GHG emissions. At today’s average US energy prices, battery pack cost must fall below $460/kWh (below $300/kWh for a 10% discount rate) for PHEVs to be cost competitive with ordinary hybrid electric vehicles (HEVs). Carbon allowance prices have marginal impact on optimal design or allocation of PHEVs even at $100/tonne. We find that the maximum battery swing should be utilized to achieve minimum life cycle cost, GHGs, and petroleum consumption. Increased swing enables greater all-electric range (AER) to be achieved with smaller battery packs, improving cost competitiveness of PHEVs. Hence, existing policies that subsidize battery cost for PHEVs would likely be better tied to AER, rather than total battery capacity.

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