Short term energy monitoring: a road to long term energy savings?

Microgrid can be applied in different locations, relative to traditional power technology. It can improve the reliability of users of electricity and power system operation. Distributed power in microgrid needs real-time and multi-objective optimization management. This paper discusses functions and structure of microgrid energy management system(MGEMS) when connected with the main grid. Problems in long-term and short-term energy management of microgrid are discussed. From the point of view of the software platform, the system structure of MGEMS software are proposed. On this basis, this paper discusses the way to construct modules of MGEMS and their functions.

Download Full-text

Heating Performance Analysis for Short-Term Energy Monitoring and Prediction Using Multi-Family Residential Energy Consumption Data

Energies ◽

10.3390/en13123189 ◽

2020 ◽

Vol 13 (12) ◽

pp. 3189

Author(s):

Sukjoon Oh ◽

Chul Kim ◽

Joonghyeok Heo ◽

Sung Lok Do ◽

Kee Han Kim

Keyword(s):

Performance Analysis ◽

Change Point ◽

Energy Use ◽

Residential Buildings ◽

Interval Data ◽

Short Term ◽

Smart Meters ◽

Energy Monitoring ◽

Heating Performance ◽

Term Energy

Many smart apartments and renovated residential buildings have installed Smart Meters (SMs), which collect interval data to accelerate more efficient energy management in multi-family residential buildings. SMs are widely used for electricity, but many utility companies have been working on systems for natural gas and water monitoring to be included in SMs. In this study, we analyze heating energy use data obtained from SMs for short-term monitoring and annual predictions using change-point models for the coefficient checking method. It was found that 9-month periods were required to search the best short-term heating energy monitoring periods when non-weather-related and weather-related heating loads and heating change-point temperatures are considered. In addition, the 9-month to 11-month periods were needed for the analysis to apply to other case study residences in the same high-rise apartment. For the accurate annual heating prediction, 11-month periods were necessary. Finally, the results from the heating performance analysis of this study were compared with the cooling performance analysis from a previous study. This study found that the coefficient checking method is a simple and easy-to-interpret approach to analyze interval heating energy use in multi-family residential buildings. It was also found that the period of short-term energy monitoring should be carefully selected to effectively collect targeted heating and cooling data for an energy audit or annual prediction.

Download Full-text

Effects of alcohol on food and energy intake in human subjects: evidence for passive and active over-consumption of energy

British Journal Of Nutrition ◽

10.1079/bjn20041139 ◽

2004 ◽

Vol 92 (S1) ◽

pp. S31-S34 ◽

Cited By ~ 58

Author(s):

Martin R. Yeomans

Keyword(s):

Energy Intake ◽

Time Course ◽

Human Subjects ◽

Pharmacological Action ◽

Future Research ◽

Appetite Control ◽

Short Term ◽

Term Energy ◽

Appetite Stimulation

The effects of alcohol on food and energy intake in human subjects have been the subject of a number of controlled studies recently. Unlike the evidence for other macronutrients, there is minimal evidence for any compensatory reduction in food intake in response to energy ingested as alcohol. In contrast, all studies testing intake within 1 h of preload ingestion report a higher intake of food following alcohol relative to energy-matched controls, although this short-term stimulatory effect is not evident if the test meal is delayed beyond 1 h. This time-course suggests that short-term stimulation of appetite may be mediated by the pharmacological action of alcohol on the appetite control system, either through enhanced orosensory reward or impaired satiety. In the long term, energy ingested as alcohol is additive to energy from other sources, suggesting that moderate alcohol consumption results in long-term passive over-consumption alongside short-term active over-consumption of energy through appetite stimulation. Despite the consistency of enhanced energy intake after moderate alcohol, evidence of an association between alcohol in the diet and obesity remains contentious, although the most recent results suggest that alcohol intake correlates with BMI. Future research needs to address this issue and clarify the mechanisms underlying appetite stimulation by alcohol.

Download Full-text

Compressed air system best practice programmes: What needs to change to secure long-term energy savings for New Zealand?

Energy Policy ◽

10.1016/j.enpol.2009.04.047 ◽

2009 ◽

Vol 37 (9) ◽

pp. 3400-3408 ◽

Cited By ~ 24

Author(s):

James R. Neale ◽

Peter J.J. Kamp

Keyword(s):

New Zealand ◽

Best Practice ◽

Energy Savings ◽

Compressed Air ◽

Air System ◽

Term Energy

Download Full-text

Non-breeding territoriality in the New Holland Honeyeater,Phylidonyris novaehollandiae, in an unpredictable environment—short-term energy costs for possible long-term reproductive benefits

Emu - Austral Ornithology ◽

10.1071/mu01057 ◽

2002 ◽

Vol 102 (4) ◽

pp. 315-321 ◽

Cited By ~ 2

Author(s):

David C. McFarland

Keyword(s):

Energy Costs ◽

Short Term ◽

Term Energy ◽

Unpredictable Environment

Download Full-text

Short-Term Energy Monitoring (STEM): Application of the PSTAR method to a residence in Fredericksburg, Virginia

10.2172/6734885 ◽

1988 ◽

Cited By ~ 8

Author(s):

K. Subbarao ◽

J.D. Burch ◽

C.E. Hancock ◽

A. Lekov ◽

J.D. Balcomb

Keyword(s):

Short Term ◽

Energy Monitoring ◽

Term Energy

Download Full-text

Reducing error propagation for long term energy forecasting using multivariate prediction

10.29007/mbb7 ◽

2020 ◽

Author(s):

Maher Selim ◽

Ryan Zhou ◽

Wenying Feng ◽

Omar Alam

Keyword(s):

Machine Learning ◽

Learning Models ◽

Short Term ◽

Energy Forecasting ◽

Opposite Behavior ◽

Multivariate Prediction ◽

Term Energy ◽

Short And Long Term ◽

Machine Learning Models

Many statistical and machine learning models for prediction make use of historical data as an input and produce single or small numbers of output values. To forecast over many timesteps, it is necessary to run the program recursively. This leads to a compounding of errors, which has adverse effects on accuracy for long forecast periods. In this paper, we show this can be mitigated through the addition of generating features which can have an “anchoring” effect on recurrent forecasts, limiting the amount of compounded error in the long term. This is studied experimentally on a benchmark energy dataset using two machine learning models LSTM and XGBoost. Prediction accuracy over differing forecast lengths is compared using the forecasting MAPE. It is found that for LSTM model the accuracy of short term energy forecasting by using a past energy consumption value as a feature is higher than the accuracy when not using past values as a feature. The opposite behavior takes place for the long term energy forecasting. For the XGBoost model, the accuracy for both short and long term energy forecasting is higher when not using past values as a feature.

Download Full-text

Mexico auction suggests positive renewables outlook

Emerald Expert Briefings ◽

10.1108/oxan-db214875 ◽

2016 ◽

Keyword(s):

Clean Energy ◽

Solar Photovoltaic ◽

Short Term ◽

Content Type ◽

Electricity Rates ◽

Residential Electricity ◽

Term Energy ◽

Power Auction ◽

Energy Reform

Subject Mexico's second renewable energy auction. Significance Mexico's energy regulator, the National Centre for Energy Control (CENACE), on September 28 published the definitive results of the second, long-term power purchase agreements for clean energy production. Twenty-three firms were assigned 57 contracts for wind, solar photovoltaic, hydropower and geothermal projects, which fulfilled more than 83% of the energy required by the state-owned Federal Electricity Commission (CFE), the sole purchaser in the auction. Impacts A third long-term power auction will be held by April 2017 at the latest. The renewables sector's development will be limited as long as it faces stiff competition from cheap US natural gas imports. As residential electricity rates will not fall much in the short term, energy reform will be a sensitive issue ahead of the 2018 election.

Download Full-text

The Effect of Ingested Macronutrients on Postprandial Ghrelin Response: A Critical Review of Existing Literature Data

International Journal of Peptides ◽

10.1155/2010/710852 ◽

2010 ◽

Vol 2010 ◽

pp. 1-9 ◽

Cited By ~ 27

Author(s):

Chrysi Koliaki ◽

Alexander Kokkinos ◽

Nicholas Tentolouris ◽

Nicholas Katsilambros

Keyword(s):

Gastrointestinal Hormones ◽

Normal Weight ◽

Vagal Activity ◽

Short Term ◽

Macronutrient Composition ◽

Gastric Emptying Rate ◽

Gut Hormone ◽

Variable Extent ◽

Term Energy

Ghrelin is a powerful orexigenic gut hormone with growth hormone releasing activity. It plays a pivotal role for long-term energy balance and short-term food intake. It is also recognized as a potent signal for meal initiation. Ghrelin levels rise sharply before feeding onset, and are strongly suppressed by food ingestion. Postprandial ghrelin response is totally macronutrient specific in normal weight subjects, but is rather independent of macronutrient composition in obese. In rodents and lean individuals, isoenergetic meals of different macronutrient content suppress ghrelin to a variable extent. Carbohydrate appears to be the most effective macronutrient for ghrelin suppression, because of its rapid absorption and insulin-secreting effect. Protein induces prolonged ghrelin suppression and is considered to be the most satiating macronutrient. Fat, on the other hand, exhibits rather weak and insufficient ghrelin-suppressing capacity. The principal mediators involved in meal-induced ghrelin regulation are glucose, insulin, gastrointestinal hormones released in the postabsorptive phase, vagal activity, gastric emptying rate, and postprandial alterations in intestinal osmolarity.

Download Full-text