Yes / Detailed electricity load profile for domestic building is an important requirement for the accurate analysis of demand side management. The use of electrical appliances within domestic buildings varies significantly with respect to time, mainly in accordance with the activity and behaviour of the occupants. This paper presents results from a monitoring study of electrical energy consumption profiles for One UK household (two adults with children). Measurements for whole household electricity consumption have been obtained over a period of ten months. They were all obtained at one minute interval. Monthly energy consumptions, daily and overall profiles were derived for this household type from the monitored data. It is intended that the results presented in this paper can be used in the quest for a precise forecast method for electricity consumption for occupants living in the same type of household in the UK. This will allow greater confidence in the sizing of, e.g., adopting renewable energy sources in this type of household. Further investigation is needed for a large sample of households to improve the understanding of monitoring high resolution domestic energy consumption. / MSCRC

Yes / Energy consumers oftentimes suffer some element of discomfort associated with the implementation of demand response programs as they aim to follow a suggested energy consumption profile generated from scheduling algorithms for the purpose of optimizing grid performance. This is because people naturally do not like to be told what to do or when to use their appliances. Although advances in renewable energy have made the consumer to also become energy supplier, who can actively cash in at times of the day when energy cost is high to either sell excess energy generated or consume it internally if required, thereby nullifying the adverse effect of this discomfort. But a majority of consumers still rely wholly on the supply from the grid. This impact on users' comfort who are active participants in demand response programs was investigated and ways to minimizing load scheduling discomfort was sought in order to encourage user participation.

Despite declining rates since the 1980s, HIV remains a significant public health concern in the US, especially among ethnic and sexual minorities, as well as other marginalized groups. This present dissertation addresses this challenge by using simulated markets to investigate the potential acceptance of HIV vaccines among at-risk population groups in the US. Four experiments were conducted to explore various factors influencing vaccine acceptance. Experiment 1 investigated the impact of vaccine-dependent factors, such as perceived dosage and mode of administration, on HIV vaccine demand. Experiment 2 assessed the effect of cost on the discounting of delayed but effective HIV vaccines. Experiment 3 examined the influence of cost on the discounting of uncertain but effective HIV vaccines. Experiment 4 explored how bundling HIV vaccines with complementary health commodities could enhance vaccine demand. The findings revealed that mucosal administration and a single-dose regimen had the most significant impact on vaccine demand. Additionally, the requirement to pay for vaccines led to more pronounced discounting of both delayed and uncertain vaccines, compared to when they were offered for free. Among the various health commodities examined, eye examinations and mental health counseling had the most significant impact on HIV vaccine demand when bundled. The dissertation also examined the effect of personal and interpersonal covariates on HIV vaccine acceptance. These findings aim to inform public health interventions and policy formulation regarding HIV vaccines, anticipating their widespread availability both in the US and globally.

The Swedish electricity market has seen a surge in demand over the past fifty years. Since the deregulation in 1996, both the demand and supply side of the market has evolved into a competitive space for market actors. This has resulted in unique conditions, characterizing the nordic electricity market as being very much dependent on demand predictability. Demand flexibility has been investigated frequently, but as certain sector developments constantly affect electricity consumption, such as price volatility and green technology development, the price- and temperature elasticities should be revised continuously. Hourly-price contracts specifically, are on the rise in price area SE1, with a rise from 6 percent to 8 percent during the middle of 2023, meaning consumption patterns are of interest for the future as the trend continues. This has, to the authors’ knowledge, not been investigated within the municipality of Luleå, which is the basis for this master’s thesis. Two methodologies were adopted to investigate the elasticities, (1) an ordinary least squares (OLS) regression model and (2) two weighted least squares (WLS) regression models. The results indicate that the price elasticity of demand in Luleå is still very inelastic, with temperature bearing the main explanatory power for household electricity consumption patterns.

No description available.

Women often experience having to stand in line in order to use public restrooms. The primary purpose of this exploratory study was to determine the number and types of activities performed in the restroom, along with the amount of time spent in the restroom, as these factors might influence the revision of plumbing codes and the design of public restrooms. Data were collected by a self administered questionnaire at four sites--an airport, highway rest area, sports arena, and conference center. The subjects were also timed. The sample consisted of 230 male and 224 female respondents. Males and females were similar in the types of activities performed in the restroom. Urination, washing hands, and checking appearance were the three activities performed most frequently by both genders. Females were more likely to have to stand in line to use the restroom than males, though the wait was usually fewer than five minutes. At two of the sites, airport and sports arena, females, on an average, performed more activities than males. At all four sites, females spent a significantly greater amount of time in the restroom than did males. For female respondents the mean time ranged from 152.5 seconds (sports arena) to 180.6 seconds (rest area). For male respondents the mean time ranged from 83.6 seconds (sports arena) to 112.5 seconds (airport). There was no significant relationship between age and the amount of time spent in the restroom, for either gender at any of the four sites. The results from two sites, however, showed a slight trend toward older people spending more time in the restroom. There was no clear pattern with regard to explaining the relationship between the amount of time spent in the restroom and the number of activities performed. For males only, there were significant differences among the four sites and the amount of time spent in the restroom. For both males and females, there were significant differences between number of activities performed and site. This research indicates that females need a greater number of elimination fixtures than do males, and that revision of plumbing codes, based on further research, is needed. / Ph. D.

The adoption of Electric Vehicles (EVs) represents a transformative change in the automotive industry. As more households make the transition to EVs, the traditional dependence on fossil fuels for transportation is being replaced by electricity as the primary energy source. This transition has the potential to increase the electricity consumption within households as well as the demand on the power grids. To maximize the environmental and economic benefits of EV adoption, strategies regarding efficient energy management, integration of renewable energy source, and grid capacity are becoming essential considerations. The current dissertation research is motivated toward evaluating the adoption of EV and its impact on the US household’s energy demand. In pursuit of these goals, this research has made several contributions. First, we proposed an econometric framework to estimate the factors influencing customers’ vehicle purchase decisions. Second, a comparative analysis is conducted between two econometric frameworks –panel mixed random utility maximization MNL model and panel mixed random regret minimization MNL model to estimate the evolving landscape of EV adoption over time. Third, we employed an advanced econometric framework- Multiple Discrete Continuous Extreme Value (MDCEV) model– to evaluate the factors that influence the energy consumption profile of various household end-uses along with their alternating trends over time. Fourth, we employed a novel fusion approach to the MDCEV model to assess the impact of travel behavior along with several household socioeconomic characteristics on various energy end-uses. Finally, by predicting household EV ownership, projections of total household energy demand for the city of Atlanta for the years 2030, 2040 and 2050 are performed. A set of independent variables including vehicle attributes, socio-economic attributes, travel behavior-related attributes, dwelling attributes, appliance-use related attributes, and climate-related attributes from various data sources are employed in this study. The research concludes with an analysis of different policy implications.

Yes / Multi-Stage Flash (MSF) desalination process has been used for decades for making fresh water from seawater and is the largest sector in desalination industries. In this work, dynamic optimisation of MSF desalination is carried out using powerful and robust dynamic simulation and optimisation software called gPROMS model builder. For a fixed freshwater demand, a number of optimal combinations of the factors such as heat transfer area, brine flow rate, cooling water flow rate, steam flow in brine heater, Top Brine Temperature, the number of stages, etc. are determined with the objective of maximising the performance ratio of the process (defined as the amount of fresh water produced per unit of energy input) considering the seasonal variations. An attempt has been made to develop an operational schedule for a particular day using dynamic optimisation.

No / Optimal design (vapour load, V and number of stages, N) and operation (reflux ratio, R and batch time, tb) of batch distillation have received significant attention in recent years. In these studies, it has been suggested that V should be set at some upper limit (thought to be optimum) and the optimisation task should be focused on finding the optimum values of N, R and tb, which would minimise the capital investment while maximising an economic objective function usually the profit (P). The major drawback of such optimisation strategy is that there is no constraint on the amount of product (on specification) being produced (NB = no. of batches in a given time) and the overall profit can only be maximised by producing unlimited amount of products. Unplanned and unlimited production of products are not sustainable and may lead to significant losses in the case of large inventory requirements of any excess products produced. In this work, for the first time, the optimal design and operation task for batch distillation is considered with due regards to the market demands (small to large number of batches) of the products being produced. An optimisation problem formulation is presented for the task which is different than those used in the past under unlimited product demand scenario. Simulated Annealing type algorithm is used for the solution of the optimisation problem. With several examples, it will be shown that fixing V a priori (say V < Vopt) will not allow production of NB batches of products with any combination of (N, R, tb) in a given production time. Also it will be shown that with V fixed at say V > Vopt, P will always be <Pmax for any combination of (N, R, tb). The comparisons between the results with and without fixing of V a priori show very clear improvement in the annual profit.

Yes / Simultaneous optimisation of design and operating parameters of MSF desalination process is considered here using MINLP technique within gPROMS software. For a fixed fresh water demand throughout the year and with seasonal variation of seawater temperature, the external heat input (a measure of operating cost) to the process is minimised. It is observed that seasonal variation in seawater temperature results in significant variation in design with minimum variation in operating conditions in terms of process temperatures. The results also reveal the possibility of designing stand-alone flash stages which would offer flexible scheduling in terms of the connection of various units (to build up the process) and efficient maintenance of the units throughout the year as the weather condition changes. In addition, operation at low temperatures throughout the year will reduce design and operating costs in terms of low temperature materials of construction and reduced amount of antiscaling and anti-corrosion agents.