Asher Kiperstok

This study presents a pilot study in suburban households in Salvador, Brazil, inserted in the context of a framework developed to aid water demand management strategies. The framework aims to understand the barrier of subjectivity while identifying consumption habit patterns in households. Six key sets of components create the framework architecture: (1) characterization of the area based on: context, climate, population/area, population growth rate, and water management challenges; (2) a survey to obtain socio-demographic and physical property data of the sample; (3) smart metering and data processing systems to monitor sample water end use; (4) determining daily consumption patterns; (5) analyzing qualitative data through theoretical consumption models to identify relevant variables for the next step; and (6) construction of representative mathematical models of consumption for each daily practice (this item was not included on pilot). It provides a starting point to understand how water demand management strategies can be supported at the user and decision-making level. As a result, improvements to the interview guides used in the pilot were suggested. Furthermore, customized measures to promote rational water consumption were identified in the study area, and policies could be proposed.

The traditional decision-making process in construction is still driven by factors such as cost and time, not adequately addressing indicators to control their environmental impacts. So, how to improve environmental communication to incorporate sustainable building practices. The incorporation of environmental indicators may enlarge the scope of construction management tools. In the case of cost databases, widely used in the construction sector, this action can contribute to the communication and dissemination of environmental practices. This paper mapped 24 indicators from construction cost databases to assess their ability to communicate and disseminate environmental information. The research comprised: (a) a review of the use of cost bases in the environmental study, (b) identification of the most cited bases in 27 Brazilian civil engineering courses, and (c) analysis of the selected databases through of the assessment matrix, it crosses cost data versus environmental information. CYPE, TCPO, and ORSE presented performance medium, and higher results than SINAPI, BDCCM, and BCCA. The tools presented low control over environmental information, such as water and energy consumption, machine circulation and pollution generation. However, it has been observed that when adding environmental indicators, these tools can contribute significantly to disseminate good practices in its wide user base.

Life Cycle Assessment (LCA) was applied to estimate and analyze the environmental impacts from the construction and operation phases of a full-scale wastewater treatment plant (WWTP) located in the municipality of Lauro de Freitas, Bahia, Brazil. The WWTP process consists of the association of an Upflow Anaerobic Sludge Blanket (UASB) reactor followed by four constructed wetlands (CWL) and a disinfection step. The functional unit was defined as one cubic meter of treated effluent during the useful life of this WWTP (20 years). The LCA was carried out using SimaPro® software and the Centre of Environmental Science (CML) assessment method. The environmental impacts during construction phase were mainly from the wooden forms for concrete and the use of reinforcing steel. During the operation phase, the chlorine used as effluent disinfectant caused the greatest impacts in the abiotic depletion and acidification categories. Macronutrient concentrations present in the treated effluent and the methane generated also caused significant environmental impacts during the WWTP’s useful life. The results obtained highlight the importance of the application of a methodology like LCA to assist in decision-making with regard to the implementation, construction and operation of a WWTP.

The wood industry is known for being among the biggest resource consumers, having a relatively low yield. The wood furniture industry as part of the wood industry also remains a big generator of residues and a big consumer of resources. Diverse solutions and technologies have been developed to deal with the residues generated, but those technologies are mostly applied at the end of the production chain with limited results. Cleaner production represents a program based on continuous strategies applied to a more sustainable use of materials and energy, minimizing waste and pollution. This paper presents a case study of a cleaner production program developed in a small furniture industry in Salvador de Bahia, Brazil, applying the concepts of cleaner production with parameters of ecodesign developed for the furniture industry. The object of study was the production of a wooden chair made from eucalyptus wood. The application of the cleaner production program and ecodesign parameters allowed a detailed characterization of the waste, resulting in opportunities for a reduction of the use of raw material by 30%, a reduction in waste by 49% and allowing a reduction in energy by 36% due to simplification of the productive process. Among the strategies applied were reshaping pieces, redesigning, and the substitution of materials. The results suggest that despite the existence of more complex environmental methods and approaches, the application of cleaner production plus ecodesign parameters could be more achievable for micro and small furniture industries.

In the drilling and production of oil at sea, a large quantity of potable water used is most commonly transported to oil platforms using offshore supply vessels (OSVs). Sea water desalination is used as well, but only in a few oil platforms. To minimize energy consumption, water supply options were studied. The desalination of seawater and the reusing of streams of grey water and black water were evaluated and compared with the characteristics of the current supply via OSVs. In both desalination and OSV water supply options an electrolytic wastewater treatment plant is used. The objective of this study was to analyze the current situation regarding water supply on offshore platforms located in the Campos Basin, Rio de Janeiro, Brazil, and to propose measures to take advantage of opportunities to reuse water and reduce energy expenditure. Two alternative scenarios were developed that involved the reuse of water that comes from the effluent of a biological wastewater treatment plant (WWTP). Information on the logistics of supplying water to platforms was obtained through direct consultation with companies and sources in the literature. The results show that annual energy consumption (uptake, treatment, transportation, use and waste water treatment) of water on offshore platforms is currently 1.89 GWh, and that a reduction of 1.8 GWh of the energy consumed can be achieved using advanced reuse treatments. Energy consumption in the water reuse treatment is more competitive than those of transport by OSVs or seawater desalination.

The Multilayer Perceptron Model was developed for predicting organic matter removal from pulp and paper mill wastewater. The original database covered a period of 1,427 consecutive days and contained the most frequently measured parameters. Three models were constructed by applying the technique of Principal Component Analysis, which selected principal components, discarded original variables and excluded possible outliers. The data were randomized and divided into training, validation and testing sets. The training algorithm was the Levenberg–Marquardt type, which is an adaptation of the back-propagation algorithm. The learning rate was 0.05, and the evaluation criteria used were the mean square error and the linear correlation coefficient. A marked difference was observed in the predictive performance when the organic matter load was used as an input. The model M4, which was built by discarding the two variables pH and EC, proved to be the most suitable and the simplest model obtained. However, choosing the best model cannot be done arbitrarily. It will be necessary to use various statistical parameters and perform comparisons of models with different sizes and structures in order to select the best model.

The government has to lead, by example, the effort for more rational water use. Nevertheless, public buildings in countries like Brazil lack the operational and maintenance organization necessary to induce better environmental practices. This paper presents the results of a five-year effort to control and reduce water use in governmental facilities in Salvador, Bahia. Seventeen state government headquarters in Bahia took part in this initiative. The basic actions taken include: daily monitoring and analysis of water consumption, inspections and adjustments of hydraulic equipment flow, rapid repair of leaks and layout improvements in toilets. All of these are part of the main initiative, which aims to implement water management in the facilities. Ecoteams were created and trained to conduct these efforts. Water control, consumption analysis and communication have been made using AGUAPURA VIANET, an Internet software designed by the Federal University of Bahia for this specific purpose. From June 2008, to December 2013, an estimated 270,000 m³ of potable water have been saved, which represents US$ 2.7 million in water and waste water costs. This represents a monthly savings of 31% in expenses compared to the practices before the program started.