Trade-offs and synergies between water and energy use in rural Australia

2015 ◽  
pp. 123-140 ◽  
Author(s):  
Shahbaz Mushtaq ◽  
Tek N. Maraseni ◽  
Kathryn Reardon-Smith
Buildings ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 105 ◽  
Author(s):  
Nadia MIRABELLA ◽  
Martin RÖCK ◽  
Marcella Ruschi Mendes SAADE ◽  
Carolin SPIRINCKX ◽  
Marc BOSMANS ◽  
...  

Globally, the building sector is responsible for more than 40% of energy use and it contributes approximately 30% of the global Greenhouse Gas (GHG) emissions. This high contribution stimulates research and policies to reduce the operational energy use and related GHG emissions of buildings. However, the environmental impacts of buildings can extend wide beyond the operational phase, and the portion of impacts related to the embodied energy of the building becomes relatively more important in low energy buildings. Therefore, the goal of the research is gaining insights into the environmental impacts of various building strategies for energy efficiency requirements compared to the life cycle environmental impacts of the whole building. The goal is to detect and investigate existing trade-offs in current approaches and solutions proposed by the research community. A literature review is driven by six fundamental and specific research questions (RQs), and performed based on two main tasks: (i) selection of literature studies, and (ii) critical analysis of the selected studies in line with the RQs. A final sample of 59 papers and 178 case studies has been collected, and key criteria are systematically analysed in a matrix. The study reveals that the high heterogeneity of the case studies makes it difficult to compare these in a straightforward way, but it allows to provide an overview of current methodological challenges and research gaps. Furthermore, the most complete studies provide valuable insights in the environmental benefits of the identified energy performance strategies over the building life cycle, but also shows the risk of burden shifting if only operational energy use is focused on, or when a limited number of environmental impact categories are assessed.


2020 ◽  
Vol 15 (3) ◽  
pp. 308-316
Author(s):  
Bindu Shrestha ◽  
Sushil B Bajracharya ◽  
Sudarshan R Tiwari

The urban household has a high potential for energy saving to reduce carbon emission; however, it has been scant attention in Nepalese energy policy. Though sustainable development has set 2030 goals to achieve high impact on energy with a focus on women’ role, Nepal is still lagged for effective participating women properly in the energy sector. Urban women have a triple role with significant responsibility for household chores, and efficient cooking is one of pertinent attitudes to reduce energy in Kathmandu. Household energy is highly influenced by human behavior, energy culture, and practices, more significant role for shifting technology, that has less consideration in the policy. This paper aims to assess the energy practices identifying trade-offs of an energy transition to cleaner technology from the questionnaire survey, observation, interviews, and quantitative analysis in terms of a gender perspective. The analysis is based on energy cultures framework in gender perspective with primary attributes of cognitive norms, energy practices, and material culture to understand urban Kathmandu neighborhood. The field study showed that urban households are suffered from energy inaccessibility, inequality, and insecurity resulting in fuel stacking, socio-economic disparity, and environmental impacts. In conclusion, the energy-saving and reduced carbon emissions can be solved through prioritizing women’s role as a change of agent with active participation, incentives, two-way communication, and awareness to improve the situation.


2002 ◽  
Vol 14 (6) ◽  
pp. 1323-1346 ◽  
Author(s):  
Susanne Schreiber ◽  
Christian K. Machens ◽  
Andreas. V. M. Herz ◽  
Simon B. Laughlin

We investigate the energy efficiency of signaling mechanisms that transfer information by means of discrete stochastic events, such as the opening or closing of an ion channel. Using a simple model for the generation of graded electrical signals by sodium and potassium channels, we find optimum numbers of channels that maximize energy efficiency. The optima depend on several factors: the relative magnitudes of the signaling cost (current flow through channels), the fixed cost of maintaining the system, the reliability of the input, additional sources of noise, and the relative costs of upstream and downstream mechanisms. We also analyze how the statistics of input signals influence energy efficiency. We find that energy-efficient signal ensembles favor a bimodal distribution of channel activations and contain only a very small fraction of large inputs when energy is scarce. We conclude that when energy use is a significant constraint, trade-offs between information transfer and energy can strongly influence the number of signaling molecules and synapses used by neurons and the manner in which these mechanisms represent information.


2013 ◽  
Vol 3 (2) ◽  
pp. 262-268 ◽  
Author(s):  
J. Willetts ◽  
M. Paddon ◽  
Nguyen Dinh Giang Nam ◽  
Nguyen Hieu Trung ◽  
N. Carrard

This paper describes a participatory deliberative planning methodology employed in Can Tho, Vietnam to assess sanitation infrastructure options for a new peri-urban area with an expected population of 278,000 people. The study compared four options across a range of scales from centralised to decentralised treatment systems, and also included an innovative resource recovery option with urine collection and reuse in local agriculture. The study was undertaken in close collaboration with the local water utility, a local university, and several city government departments. In the sustainability assessment process key city stakeholders ranked the four options against criteria in five areas: (i) technical and risk, (ii) social and health, (iii) environmental, (iv) economic and financial, (v) city future. Stakeholders were provided with detailed information about each option, including quantitative data such as costs and energy use, and qualitative data against areas such as social acceptability. The assessment made evident the trade-offs between these five areas, and after their prioritisation, stakeholders agreed on the option that combined centralised treatment for the densely populated area to be inhabited earlier, and decentralised treatment for the remaining area. The methodology provided a robust way for stakeholders to engage in informed decision-making on this important planning issue.


Author(s):  
Allison Littman ◽  
Geoff Lyon ◽  
Amip Shah ◽  
John Vogler

Smart meters have become increasingly common as an approach to benchmark and assess building energy use. In this paper, we explore what type of metering infrastructure may be required to derive value from the application of smart meters in the commercial and industrial sectors. As an example, we find that sole reliance upon a site-level smart meter—which has been the focus of most existing deployment models—provides sufficient data to extract summary statistics about how the energy use of a given site may compare to a typical ‘average’ site, but such installations fail to provide adequate detail about where the energy use is occurring or why any discrepancies might be occurring. To resolve these issues, we install a multi-tier advanced metering infrastructure (AMI) at a mixed use (industrial and commercial) campus. We use this AMI deployment to gain insight at different levels of the consumption hierarchy—from sites to buildings, panels, sub-panels, and end loads. The paper concludes by discussing the trade-offs associated with such augmented metering at each level within the hierarchy, with a view towards providing guidelines for AMI deployment at other industrial and commercial campuses.


2020 ◽  
Vol 287 (1933) ◽  
pp. 20200995
Author(s):  
Giulia Ghedini ◽  
Martino E. Malerba ◽  
Dustin J. Marshall

Size and metabolism are highly correlated, so that community energy flux might be predicted from size distributions alone. However, the accuracy of predictions based on interspecific energy–size relationships relative to approaches not based on size distributions is unknown. We compare six approaches to predict energy flux in phytoplankton communities across succession: assuming a constant energy use among species (per cell or unit biomass), using energy–size interspecific scaling relationships and species-specific rates (both with or without accounting for density effects). Except for the per cell approach, all others explained some variation in energy flux but their accuracy varied considerably. Surprisingly, the best approach overall was based on mean biomass-specific rates, followed by the most complex (species-specific rates with density). We show that biomass-specific rates alone predict community energy flux because the allometric scaling of energy use with size measured for species in isolation does not reflect the isometric scaling of these species in communities. We also find energy equivalence throughout succession, even when communities are not at carrying capacity. Finally, we discuss that species assembly can alter energy–size relationships, and that metabolic suppression in response to density might drive the allometry of community energy flux as biomass accumulates.


2016 ◽  
Vol 46 (12) ◽  
pp. 1427-1438 ◽  
Author(s):  
Eva-Maria Nordström ◽  
Nicklas Forsell ◽  
Anders Lundström ◽  
Anu Korosuo ◽  
Johan Bergh ◽  
...  

Under climate change, the importance of biomass resources is likely to increase and new approaches are needed to analyze future material and energy use of biomass globally and locally. Using Sweden as an example, we present an approach that combines global and national land-use and forest models to analyze impacts of climate change mitigation ambitions on forest management and harvesting in a specific country. National forest impact analyses in Sweden have traditionally focused on supply potential with little reference to international market developments. In this study, we use the global greenhouse gas concentration scenarios from the Intergovernmental Panel for Climate Change to estimate global biomass demand and assess potential implications on harvesting and biodiversity in Sweden. The results show that the short-term demand for wood is close to the full harvesting potential in Sweden in all scenarios. Under high bioenergy demand, harvest levels are projected to stay high over a longer time and particularly impact the harvest levels of pulpwood. The area of old forest in the managed landscape may decrease. This study highlights the importance of global scenarios when discussing national-level analysis and pinpoints trade-offs that policy making in Sweden may need to tackle in the near future.


2017 ◽  
Vol 114 (34) ◽  
pp. 8945-8950 ◽  
Author(s):  
Burak Güneralp ◽  
Yuyu Zhou ◽  
Diana Ürge-Vorsatz ◽  
Mukesh Gupta ◽  
Sha Yu ◽  
...  

Although the scale of impending urbanization is well-acknowledged, we have a limited understanding of how urban forms will change and what their impact will be on building energy use. Using both top-down and bottom-up approaches and scenarios, we examine building energy use for heating and cooling. Globally, the energy use for heating and cooling by the middle of the century will be between 45 and 59 exajoules per year (corresponding to an increase of 7–40% since 2010). Most of this variability is due to the uncertainty in future urban densities of rapidly growing cities in Asia and particularly China. Dense urban development leads to less urban energy use overall. Waiting to retrofit the existing built environment until markets are ready in about 5 years to widely deploy the most advanced renovation technologies leads to more savings in building energy use. Potential for savings in energy use is greatest in China when coupled with efficiency gains. Advanced efficiency makes the least difference compared with the business-as-usual scenario in South Asia and Sub-Saharan Africa but significantly contributes to energy savings in North America and Europe. Systemic efforts that focus on both urban form, of which urban density is an indicator, and energy-efficient technologies, but that also account for potential co-benefits and trade-offs with human well-being can contribute to both local and global sustainability. Particularly in growing cities in the developing world, such efforts can improve the well-being of billions of urban residents and contribute to mitigating climate change by reducing energy use in urban areas.


2011 ◽  
Vol 403-408 ◽  
pp. 5265-5272
Author(s):  
Yi Kai Juan ◽  
Yu Ching Cheng ◽  
Yeng Horng Perng ◽  
Guang Bin Wang

More and more attention has been paid to hospital facilities since modern pandemics have emerged such as SARS and avian influenza. Energy consumption by buildings accounts for 20-40% of energy use in developed countries, so many global organizations make efforts to develop sustainable technologies or materials to create a sustainable environment, and to reduce energy consumption when renovating building. Therefore, maintaining high standards of hygiene and reducing energy consumption has become the major task for hospital buildings. This study develops an integrated decision support system to assess existing hospital building conditions and to recommend an optimal scheme of sustainable renovation actions, considering trade-offs between renovation cost, improved building quality, and environmental impacts. A hybrid approach that combines the A* graph search algorithm with genetic algorithms (GA) is used to analyze all possible renovation actions and their trade-offs to develop the optimal solution. A simulated hospital renovation project is established to demonstrate the system. The result reveals the system can solve complicated and large-scale combinational, discrete and determinate problems such as the hospital renovation project, and also improve traditional building condition assessment to be more effective and efficient.


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