scholarly journals Electric energy consumption of milking process on some Finnish dairy farms

2017 ◽  
Vol 26 (3) ◽  
Author(s):  
Mari Rajaniemi ◽  
Tapani Jokiniemi ◽  
Laura Alakukku ◽  
Jukka Ahokas
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Electric Energy ◽  
Cooling Water ◽  
Electricity Consumption ◽  
Dairy Farms ◽  
Energy Costs ◽  
Heating Systems ◽  
Electric Energy Consumption ◽  
Energy Saving Potential

The aim of this study was to examine the electric energy consumption of milking process on dairy farms and to evaluate the methods to improve the energy efficiency. The electricity consumption of the milking process was measured on three dairy farms in Southern Finland, and it varied between 37–62 Wh kg-1 milk.  The largest energy saving potential was identified in milk cooling and the heating of cleaning water. Even simple methods, such as placing the condenser of the refrigeration system outside, may reduce the energy consumption of milk cooling by 30%. Efficient milk pre-cooling can reduce the energy consumption of the whole milking process by more than 25%. Even larger energy savings are possible with a sophisticated milk cooling – water heating systems. It was concluded that there is a significant potential to reduce the energy consumption and energy costs of the milking process, and thus to improve the profitability and sustainability of the sector at the same time.

scholarly journals AUDIT ENERGI PADA SEBUAH HOTEL

2012 ◽  
Vol 16 (3) ◽  
pp. 131
Author(s):  
Didik Ariwibowo
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Energy Savings ◽  
Electric Energy ◽  
Electrical Energy ◽  
Hot Water ◽  
Electrical Energy Consumption ◽  
Energy Audit ◽  
Electric Energy Consumption ◽  
Pumping System

Didik Ariwibowo, in this paper explain that energy audit activities conducted through several phases, namely: the initial audit, detailed audit, analysis of energy savings opportunities, and the proposed energy savings. Total energy consumed consists of electrical energy, fuel, and materials in this case is water. Electrical energy consumption data obtained from payment of electricity accounts for a year while consumption of fuel and water obtained from the payment of material procurement. From the calculation data, IKE hotels accounted for 420.867 kWh/m2.tahun, while the IKE standards for the hotel is 300 kWh/m2.tahun. Thus, IKE hotel included categorized wasteful in energy usage. The largest energy consumption on electric energy consumption. Largest electric energy consumption is on the air conditioning (AC-air conditioning) that is equal to 71.3%, and lighting and electrical equipment at 27.28%, and hot water supply system by 4.44%. Electrical energy consumption in AC looks very big. Ministry of Energy and Mineral Resources of the statutes, the profile of energy use by air conditioning at the hotel by 48.5%. With these considerations in the AC target for audit detail as the next phase of activity. The results of a detailed audit analysis to find an air conditioning system energy savings opportunities in pumping systems. Recommendations on these savings is the integration of automation on the pumping system and fan coil units (FCU). The principle of energy conservation in the pumping system is by installing variable speed drives (VSD) pump drive motor to adjust speed according to load on the FCU. Load variations FCU provide input on the VSD pumps to match. Adaptation is predicted pump can save electricity consumption up to 65.7%. Keywords: energy audit, IKE, AC

scholarly journals Parallel Evolutionary Biclustering of Short-term Electric Energy Consumption

2021 ◽  
Author(s):  
Diego P. Pinto-Roa ◽  
Hernán Medina ◽  
Federico Román ◽  
Miguel García-Torres ◽  
Federico Divina ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Search Space ◽  
Consumption Pattern ◽  
Electric Energy Consumption ◽  
System A ◽  
Time Period ◽  
Computation Scheme ◽  
Significant Patterns

The discovery and description of patterns in electric energy consumption time series is fundamental for timely management of the system. A bicluster describes a subset of observation points in a time period in which a consumption pattern occurs as abrupt changes or instabilities homogeneously. Nevertheless, the pattern detection complexity increases with the number of observation points and samples of the study period. In this context, current bi-clustering techniques may not detect significant patterns given the increased search space. This study develops a parallel evolutionary computation scheme to find biclusters in electric energy. Numerical simulations show the benefits of the proposed approach, discovering significantly more electricity consumption patterns compared to a state-of-the-art non-parallel competitive algorithm.

A Novel Design of Triple-Hybrid Absorption Radiant Building Cooling System With Desiccant Dehumidification

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Gaurav Singh ◽  
Ranjan Das
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Cooling System ◽  
Electric Energy ◽  
Electric Heater ◽  
Operational Strategies ◽  
Electric Energy Consumption ◽  
Radiant Cooling ◽  
Building Cooling ◽  
Novel Design

In air-conditioning, strategy of decoupling cooling and ventilation tasks has stimulated considerable interest in radiant cooling systems with dedicated outdoor air system (DOAS). In view of this, current paper presents a simulation study to describe energy saving potential of a solar, biogas, and electric heater powered hybrid vapor absorption chiller (VAC) based radiant cooling system with desiccant-coupled DOAS. A medium office building under warm and humid climatic condition is considered. To investigate the system under different operational strategies, energyplus simulations are done. In this study, a novel design involving solar collectors and biogas fired boiler is proposed for VAC and desiccant regeneration. Three systems are compared in terms of total electric energy consumption: conventional vapor compression chiller (VCC) based radiant cooling system with conventional VCC-DOAS, hybrid VAC-based radiant cooling system with conventional VCC-DOAS, and hybrid VAC-based radiant cooling system with desiccant-assisted VCC-DOAS. The hybrid VAC radiant cooling system and desiccant-assisted VCC-DOAS yields in 9.1% lesser energy consumption than that of the VAC radiant cooling system with conventional VCC-DOAS. Results also show that up to 13.2% energy savings can be ensured through triple-hybrid VAC radiant cooling system and desiccant-assisted VCC-DOAS as compared to that of the conventional VCC-based radiant system. The return on investment is observed to be 14.59 yr for the proposed system.

MATHEMATICAL MODELS FOR MONITORING AND CONTROL OF ELECTRIC ENERGY CONSUMPTION WITH ACCOUNT OF THE SEASONAL FACTOR

2017 ◽  
Vol 11 (5) ◽  
pp. 133-140 ◽  
Author(s):  
Сергей Лавренченко ◽  
Sergey Lavrenchenko ◽  
Людмила Згонник ◽  
Lyudmila Zgonnik ◽  
Инна Гладская ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Daily Basis ◽  
Monitoring And Control ◽  
Theoretical Level ◽  
Electric Energy Consumption ◽  
Energy Meter ◽  
Seasonal Factor

The article proposes a method for predicting the daily energy consumption level for every day of a whole year, taking into account the season-al factor, based on only twelve actual power consumption data by the months of the year. Then a mathematical model is developed for moni-toring and controlling the level of electricity consumption on a daily basis, taking into account the seasonal factor. The model is consistent with a common model for the length of daylight (in hours). In addition, on the basis of this model, a method of monitoring and diagnostics of electricity consumption is presented, which will allow users to monitor the level of power consumption and be timely notified of any deviations from the theoretical level. Finally, this method gives rise to the operational principle for a proposed device, a smart energy meter, for detecting suspicious deviations from the theoretical level. The device will help timely detect over-consumption (or under-consumption) of electricity in order to take preventive measures. The proposed method consists of the following steps: (1) choice of a function to model the level of electricity consumption (theoretical calculated level), (2) choice of a tubular control neighborhood of the graph of the model function, (3) choice of a criterion on when the smart energy meter should notify the user of an unexpected deviation from the theoretical level in the case of exit from the tubular control neighborhood.

scholarly journals Bagging Ensemble of Multilayer Perceptrons for Missing Electricity Consumption Data Imputation

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1772 ◽  
Author(s):  
Seungwon Jung ◽  
Jihoon Moon ◽  
Sungwoo Park ◽  
Seungmin Rho ◽  
Sung Wook Baik ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Missing Values ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Multilayer Perceptrons ◽  
Imputation Methods ◽  
Electric Energy Consumption ◽  
Consumption Data ◽  
Bagging Ensemble

For efficient and effective energy management, accurate energy consumption forecasting is required in energy management systems (EMSs). Recently, several artificial intelligence-based techniques have been proposed for accurate electric load forecasting; moreover, perfect energy consumption data are critical for the prediction. However, owing to diverse reasons, such as device malfunctions and signal transmission errors, missing data are frequently observed in the actual data. Previously, many imputation methods have been proposed to compensate for missing values; however, these methods have achieved limited success in imputing electric energy consumption data because the period of data missing is long and the dependency on historical data is high. In this study, we propose a novel missing-value imputation scheme for electricity consumption data. The proposed scheme uses a bagging ensemble of multilayer perceptrons (MLPs), called softmax ensemble network, wherein the ensemble weight of each MLP is determined by a softmax function. This ensemble network learns electric energy consumption data with explanatory variables and imputes missing values in this data. To evaluate the performance of our scheme, we performed diverse experiments on real electric energy consumption data and confirmed that the proposed scheme can deliver superior performance compared to other imputation methods.

scholarly journals COMPARATIVE ANALYSIS OF THE ENERGY CONSUMPTION OF FIXED AND VARIABLE SPEED PRESSURE SYSTEMS

2020 ◽  
Vol 9 ◽  
pp. 363
Author(s):  
Ana Catarina Formigoni Abel ◽  
Diego Antônio Custódio
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Electric Energy ◽  
Variable Speed ◽  
Electric Energy Consumption ◽  
Cost Of Energy ◽  
Product Models ◽  
Average Potential Energy ◽  
The Cost ◽  
Frequency Inverter

The objective of this study was analyzing two pressure systems relative to energy consumption. One of the systems operates at a fixed speed and the other with variable speed by using a frequency inverter. It was selected two product models based on the water demand, which was calculated with the average flow rate spent per each type of sanitary appliance. Thus, it was possible to estimate the power consumed in each hour and then, calculate the electric energy consumption. The cost of energy per hour was also found, considering the current energy tariff. The results showed an economical use of the inverter compares to non-use. The average potential energy savings was 44.7%, and it was found R$ 369.11 of reduction in the monthly energy cost. Therefore, it is concluded the use frequency inverter is economically viable in relation to energy consumption and reduce the costs of electric energy.  

scholarly journals Direct energy consumption and CO2 emissions in a Finnish broiler house – a case study

2015 ◽  
Vol 24 (1) ◽  
pp. 10-23 ◽  
Author(s):  
Mari Rajaniemi ◽  
Jukka Ahokas
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Energy Savings ◽  
Electricity Consumption ◽  
Carcass Weight ◽  
Total Energy Consumption ◽  
Energy Saving Potential ◽  
Feed Production ◽  
Direct Energy ◽  
Broiler House

Direct energy (electricity and heating) consumption was measured from one broiler house in southern Finland. CO2 emissions were also calculated. Six broiler flocks were reared per year with an average of 26 000 birds per flock. Heating constituted the major energy input, averaging 1.3 kWh kg-1 of carcass weight. It varied greatly between seasons and was highest during the cold period. Using renewable energy for heating remarkably reduces CO2 emissions compared to fossil energy. Electricity consumption averaged 0.08 kWh kg-1 of carcass weight. The greatest energy saving potential can be found in heating. CO2 emissions can be lowered to similar levels as in warmer countries by using biofuels for heating. Ventilation control is one possibility for direct energy savings in broiler production. Feed production is one of the key elements when total energy consumption is considered.

scholarly journals Energy consumption and technical-economic analysis of an automatic feeding system for dairy farms: Results from a field test

2018 ◽  
Vol 49 (4) ◽  
pp. 228-232 ◽  
Author(s):  
Francesco M. Tangorra ◽  
Aldo Calcante
Keyword(s):  
Energy Consumption ◽  
Electric Energy ◽  
Average Energy ◽  
Dairy Farm ◽  
Dairy Farms ◽  
Experimental Period ◽  
Feeding System ◽  
Electric Energy Consumption ◽  
Lack Of Information ◽  
Average Energy Consumption

The need to reduce labour demand and the increasing size of herds have led - in the last years - to develop specific automated solutions for feeding animals in dairy farms. Currently there are more than 1250 automatic feeding systems (AFS) used worldwide, but there is a lack of information about both their energy requirements and management costs. The primary aim of the present study was to measure the electric energy consumption of an AFS installed in a dairy farm of Northern Italy under practical conditions. The secondary aim was to calculate, using the classic ASABE approach, the costs for preparing and distributing a total mixed ration (TMR) with the same AFS in comparison with the conventional feeding system (CFS) (tractor + TMR wagon) previously adopted by the farm. The average energy consumption of AFS over the experimental period (two months) was 40.2±2.3 kWh per day, 2.11±0.07 kWh per ton of TMR distributed and 29.6 kWh ∙ cow–1 per year. Energy consumptions and labour were reduced respectively of 97% and 79% passing from a CFS (tractor + TMR wagon) to an AFS, contributing to reduce the daily cost for feeding TMR up to 33%. These results highlighting that AFS can represent an interesting option to improve competitiveness of dairy farms.

scholarly journals Analytical Treatment of Forecasts of Electric Energy Consumption in Latvia

2014 ◽  
Vol 51 (3) ◽  
pp. 3-14
Author(s):  
M. Balodis ◽  
V. Gavars ◽  
J. Andersons
Keyword(s):  
Energy Consumption ◽  
Structural Changes ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Time Span ◽  
Analytical Treatment ◽  
East European ◽  
Electric Energy Consumption ◽  
West Central ◽  
Specific Electricity Consumption

Abstract In the paper, the changes in electric energy consumption are analyzed as associated with structural changes in the Latvian economy of postsocialistic period. To the analysis, a particular approach is applied, which consists in comparison of the basic and specific electricity consumption indices in West-, Central-, and East-European states for the time span of 1990-2010, with differences and tendencies of changes revealed. Tendencies of the type are determined for the electric energy consumption in Latvia, and recommendations are given for the use of such indices in the relevant forecasts.

scholarly journals Influence of Braking Strategies for Electric Trike Energy Consumption

2020 ◽  
Vol 3 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Metha Islameka ◽  
Christopher Kusuma ◽  
Bentang Budiman ◽  
◽  
◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Test Procedure ◽  
Electric Energy ◽  
Regenerative Braking ◽  
Electric Energy Consumption ◽  
Wheeled Vehicle ◽  
Energy Consumption Model ◽  
Battery State Of Charge ◽  
Vehicle Test

This research aims to investigate the effect of applying braking strategies to the energy consumption of electric trike (e-trike). E-trike is a three-wheeled vehicle that is designed for goods delivery. A simulation is carried out to find the specific electric energy consumption in terms of km/kWh. The simulation is conducted by developing an energy consumption model using Matlab/Simulink software. The input data used in the simulation is obtained from the e-trike specification designed by Institut Teknologi Bandung (ITB) researchers. The output is the battery State of Charge (SOC) and energy required for the Worldwide Harmonized Light Vehicle Test Procedure (WLTP) driving cycle. Four different braking strategies are implemented in the simulation, namely full mechanical braking, serial regenerative braking, parallel regenerative braking, and modified braking strategies. The simulation results show that by applying the modified braking strategy, greater savings of energy can be achieved. Full mechanical braking strategy can achieve energy savings of 19.2 km/kWh whereas the modified braking strategy generates 20 km/kWh. These results indicate that the application of modified braking strategies can significantly increase the e-trike mileage.

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