Implications of Urban Growth on Domestic Water Consumption： A Case Study of Jorhat Town, India

This paper tries to embraces the urban growth in Jorhat town and its implications on water consumption at household＇s level. Urban growth is measured through the increase in the number of population and the aerial extent. It is a pathetic situation for Jorhat residents in case of domestic water consumption that due to rapid increase of population in the town, the existing water supply systems cannot cope with the current demand. So, the people of the town always struggle to collect water from other sources such as River Bhogdoi, ponds, dug well, water vendor etc., moreover, try to satisfy the limited daily household needs. The methodology adopted in this paper is involved on both primary and secondary data. The primary data has been collected through household survey pertains to 600 households from each of 19 municipal wards in Jorhat town in both pre and post monsoon seasons. To highlight the growth of population and population projection, the compound rate of growth method has been used and it is tried to link with the future water demand in Jorhat town,

Discussion about the standard system on urban domestic water saving technology in China

Standard is the technical foundation of national economic and social development, and it is the basic rule of establishing social regulation. Researching and constituting the standard system of urban domestic water saving technology is to offer important science basis for revising standard plan and standardize research plan. This paper introduces the present situation of our urban domestic water saving technical standard system, problem and the development direction in the future, as well as project planning of constructing urban domestic water saving technical standard system.

Developing Operational Model for Heat Pumps as Space Heating and Domestic Hot Water Provider

In the United Kingdom, means of meeting domestic heating is being electrified to decarbonise in effort to reduce the greenhouse gases emissions from the burning of natural gas. Therefore, the uptake of heat pumps is on the increase. The operation and working principle of heat pumps must be well understood in the investigations of their impacts on the grid and the grid assets, especially distribution transformers which could be overloaded due to higher peak load demand. This work develops an operational model of heat pumps as combined space heating and domestic hot water provider implemented in MATLAB. The developed operational model of heat pumps is adaptable and repeatable for different input parameters. The developed model is used to generate daily average demand profiles of heat pumps for a typical winter weekday and a typical summer weekday. The generated demand profiles of heat pumps by the developed model compared well with the demand profiles of heat pumps generated from actual field projects which are usually expensive and time-tasking.

Detection of Legionella pneumophila from domestic water and their antibiotic resistance profiles

Objective:To investigate the presence of Legionella pneumophila(L.pneumophila)in domestic water in Bitlis province and to determine the in vitro susceptibility of the isolates against several antibiotics.Methods:A total of 320 tap water samples were collected from the urban areas and villages of Bitlis province during the period from May to December 2010.All samples were cultured on plates of buffered charcoal yeast extract agar.L.pneumophila strains were tested for antimicrobial susceptibility by the disk diffusion method.Results:L.pneumophila strains were isolated from six(1.9%)domestic water samples.All isolates were typed as L.pneumophila serogroup 1 by latex agglutination test.Four of strains were isolated in July and two of them were detected in August.Antibiotic susceptibility testing was carried out on six L.pneumophila serogroup 1 isolates.Of the six strains,two was resistant to erythromycin and streptomycin,four were resistant to ampicillin and gentamicin,but all were sensitive to chloramphenicol and doxycycline.Conclusions:Our results indicate that L.pneumophila serogroup 1 is the most common type in the domestic water samples and threats public health.This is the first report of L.pneumophila in domestic water samples from Bitlis province.

Flexibility Prediction of Aggregated Electric Vehicles and Domestic Hot Water Systems in Smart Grids

With the growth of intermittent renewable energy generation in power grids,there is an increasing demand for controllable resources to be deployed to guarantee power quality and frequency stability.The flexibility of demand response(DR)resources has become a valuable solution to this problem.However,existing research indicates that problems on flexibility prediction of DR resources have not been investigated.This study applied the temporal convolution network(TCN)-combined transformer,a deep learning technique to predict the aggregated flexibility of two types of DR resources,that is,electric vehicles(EVs)and domestic hot water system(DHWS).The prediction uses historical power consumption data of these DR resources and DR signals(DSs)to facilitate prediction.The prediction can generate the size and maintenance time of the aggregated flexibility.The accuracy of the flexibility prediction results was verified through simulations of case studies.The simulation results show that under different maintenance times,the size of the flexibility changed.The proposed DR resource flexibility prediction method demonstrates its application in unlocking the demand-side flexibility to provide a reserve to grids.

Space heating and hot water demand analysis of dwellings connected to district heating scheme in UK

To achieve CO2 emissions reductions, the UK Building Regulations require developers of new residential buildings to calculate expected CO2 emissions arising from their energy consumption using a methodology such as Standard Assessment Procedure （SAP 2005） or, more recently SAP 2009. SAP encompasses all domestic heat consumption and a limited proportion of the electricity consumption. However, these calculations are rarely verified with real energy consumption and related CO2 emissions. This work presents the results of an analysis based on weekly heat demand data for more than 200 individual fiats. The data were collected from a recently built residential development connected to a district heating network. A method for separating out the domestic hot water （DHW） use and space heating （SH） demand has been developed and these values are compared to the demand calculated using SAP 2005 and SAP 2009 methodologies. The analysis also shows the variation in DHW and SH consumption with size of flats and with tenure （privately owned or social housing）. Evaluation of the space heating consumption also includes an estimate of the heating degree day （HDD） base temperature for each block of fiats and compares this to the average base temperature calculated using the SAP 2005 methodology.

Energy and Buildings

https://www.sciencedirect.com/journal/energy-and-buildings/vol/212/suppl/C Volume 212,1 April 2020(1)Assessment of the impact of HVAC system configuration and control zoning on thermal comfort and energy efficiency in flexible office spaces,by Jasmin Anika Grtner,Francesco Massa Gray,Thomas Auer,Article 109785Abstract:In office buildings,the space layout usually needs to be repeatedly redesigned in order to meet tenants’requirements during the building’s life cycle.In this study,the effect of a flexible space layout design on thermal comfort and energy demand is investigated in a modern open-plan office space.Using dynamic thermal simulation.

Developments of solar collectors in China

China has abundant solar energy resource. Solar thermal collectors, particularly all-glass evacuated tubular collectors, have been studied and developed for 30 years, and solar thermal industry has developed rapidly for 15 years. There are various solar thermal systems, with an operation area of around 108 million m2 in 2007. These systems mainly provide domestic hot water, but some other applications are under extensive study and development as well.

Cost-effective and emission-cutting water heating system based on a novel bi-level expanded P-graph configuration optimization method

Domestic hot water(DHW)systems contribute significantly to the building sector’s energy consumption and carbon emissions,making innovative optimization methods crucial for enhancing DHW energy efficiency.Existing DHW system optimizations focus on design parameters and operation modes,but their applicability is limited to specific systems and configurations,overlooking more efficient alternatives.To overcome this problem,combining visualized graphic and algebraic techniques,this study introduces a novel bi-level expanded Process Graph optimization method(BEPGOM)to optimize a DHW system with diverse component-candidates.BEPGOM effectively identifies nontrivial configurations,substantially improving economic and environmental benefits,and enhances solvability with a 98%reduction in solution space.The optimal configuration,consisting of solar heating,PCM tank,and natural gas water heater,reduces the expenditures by 18%and equivalent CO_(2) emission by 34%compared to the existing base case,greatly exceeding the traditional optimization method.Its adaptability,efficiency,and accessibility make BEPGOM a valuable tool in advancing energy system design and promoting carbon neutrality in the building sector.

Modeling demand/supply of water resources in the arid region of northwestern China during the late 1980s to 2010

Water demand increases continuously with an increasing population and economic development. As a result, the difference between water supply and demand becomes a sig- nificant issue, especially in arid regions. To figure out the utilization of water resources in the arid region of northwestern China （ARNWC）, and also to provide methodologies to predict the water use in future, three models were established in this study to calculate agricultural irri- gation, industrial and domestic water use in the ARNWC from the late 1980s to 2010. Based on river discharges in the region, the supply and demand of water resources at the river basin level were analyzed. The results indicated that agricultural irrigation demand occupies more than 90% of the total water use in the ARNWC. Total water demand increased from 31.97 km3 in the late 1980s to 48.19 km3 in 2010. Most river basins in this arid region were under me- dium and high water stress. Severe-risk river basins, such as the Shiyang river basin and the eastern part of the northern piedmont of the Tianshan Mountains, were found in this region. It was revealed that the water supply became critical from April to May, which was the season of the lowest water supply as determined by comparing monthly water consumption.

Phosphate adsorption performance of a novel filter substrate made from drinking water treatment residuals

Phosphate is one of the most predominant pollutants in natural waters. Laboratory experiments were conducted to investigate the phosphate adsorption performance of a（NFS） made from drinking water treatment residuals. The adsorption of phosphate on the NFS fitted well with the Freundlich isotherm and pseudo second-order kinetic models. At p H 7.0, the maximum adsorption capacity of 1.03 mg/g was achieved at 15°C corresponding to the wastewater temperature in cold months, and increased notably to 1.31 mg/g at 35°C.Under both acidic conditions（part of the adsorption sites was consumed） and basic conditions（negative charges formed on the surface of NFS, which led to a static repulsion of PO43-and HPO42-）, the adsorption of phosphate was slightly inhibited. Further study showed that part of the adsorption sites could be recovered by 0.25 mol/L Na OH. The activation energy was calculated to be above 8.0 k J/mol, indicating that the adsorption of phosphate on NFS was probably a chemical process. Considering the strong phosphate adsorption capacity and recoverability, NFS showed great promise on enhancing phosphate removal from the secondary treated wastewater in the filtration process.